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ORCIDShengxiang Yang
Sheng-Xiang Yang
Person information
- affiliation: De Montfort University, School of Computer Science and Informatics, Leicester, UK
- affiliation (2010 - 2012): Brunel University, Department of Information Systems and Computing, Uxbridge, UK
- affiliation (2000 - 2010): University of Leicester, Department of Computer Science, UK
- affiliation (1999 - 2000): King's College London, Department of Computer Science, UK
- affiliation (PhD 1999): Northeastern University, Institute of Systems Engineering, Shenyang, China
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2020 – today
- 2025
[j222]Yaru Hu
, Junwei Ou, Huibing Wang, Juan Zou, Jinhua Zheng, Shengxiang Yang:
Dynamic multiobjective optimization via an improved r-dominance relation and a novel prediction approach. Expert Syst. Appl. 263: 125765 (2025)- 2024
- [b1]Changhe Li, Shoufei Han, Sanyou Zeng, Shengxiang Yang:
Intelligent Optimization - Principles, Algorithms and Applications. Springer 2024, ISBN 978-981-97-3285-2, pp. 1-361 - [j221]Jinze Liu, Jian Feng, Shengxiang Yang, Huaguang Zhang, Shaoning Liu:
Dynamic ε-multilevel hierarchy constraint optimization with adaptive boundary constraint handling technology. Appl. Soft Comput. 152: 111172 (2024) - [j220]Yinan Guo, Jiayang Pu, Botao Jiao, Yanyan Peng, Dini Wang, Shengxiang Yang:
Online semi-supervised active learning ensemble classification for evolving imbalanced data streams. Appl. Soft Comput. 155: 111452 (2024) - [j219]Zhipan Li, Huigui Rong, Shengxiang Yang, Xu Yang, Yupeng Huang:
A dual-population coevolutionary algorithm for balancing convergence and diversity in the decision space in multimodal multi-objective optimization. Appl. Soft Comput. 162: 111770 (2024) - [j218]Yinan Guo, Zhiji Zheng, Jiayang Pu, Botao Jiao, Dunwei Gong, Shengxiang Yang:
Robust online active learning with cluster-based local drift detection for unbalanced imperfect data. Appl. Soft Comput. 165: 112051 (2024) - [j217]Jiawen Deng, Jihui Zhang, Shengxiang Yang:
Optimizing electric vehicle routing with nonlinear charging and time windows using improved differential evolution algorithm. Clust. Comput. 27(4): 5423-5458 (2024) - [j216]Xinfu Pang, Yibao Wang, Shengxiang Yang, Wei Liu, Yang Yu:
A bi-objective low-carbon economic scheduling method for cogeneration system considering carbon capture and demand response. Expert Syst. Appl. 243: 122875 (2024) - [j215]Yaru Hu, Juan Zou, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang:
A new framework of change response for dynamic multi-objective optimization. Expert Syst. Appl. 248: 123344 (2024) - [j214]Shouyong Jiang, Jinglei Guo, Yong Wang, Shengxiang Yang:
Evolutionary Multi/Many-Objective Optimisation via Bilevel Decomposition. IEEE CAA J. Autom. Sinica 11(9): 1973-1986 (2024) - [j213]Yi Xiang, Jinhua Zheng, Yaru Hu, Yuan Liu, Juan Zou, Qi Deng, Shengxiang Yang:
Weak relationship indicator-based evolutionary algorithm for multimodal multi-objective optimization. Inf. Sci. 652: 119755 (2024) - [j212]Yu Sun, Yuqing Chang, Shengxiang Yang, Fuli Wang:
Dynamic niching particle swarm optimization with an external archive-guided mechanism for multimodal multi-objective optimization. Inf. Sci. 653: 119794 (2024) - [j211]Kangyu Xu, Yizhang Xia, Juan Zou, Zhanglu Hou, Shengxiang Yang, Yaru Hu, Yuan Liu:
A cluster prediction strategy with the induced mutation for dynamic multi-objective optimization. Inf. Sci. 661: 120193 (2024) - [j210]Juan Zou, Li Tang, Yuan Liu, Shengxiang Yang, Shiting Wang:
A two-stage direction-guided evolutionary algorithm for large-scale multiobjective optimization. Inf. Sci. 674: 120719 (2024) - [j209]Si Long, Jinhua Zheng, Qi Deng, Yuan Liu, Juan Zou, Shengxiang Yang:
A similarity-detection-based evolutionary algorithm for large-scale multimodal multi-objective optimization. Swarm Evol. Comput. 87: 101548 (2024) - [j208]Xueqing Wang, Jinhua Zheng, Zhanglu Hou, Yuan Liu, Juan Zou, Yizhang Xia, Shengxiang Yang:
A novel preference-driven evolutionary algorithm for dynamic multi-objective problems. Swarm Evol. Comput. 89: 101638 (2024) - [j207]Wang Che, Jinhua Zheng, Yaru Hu, Juan Zou, Shengxiang Yang:
Dynamic constrained multi-objective optimization algorithm based on co-evolution and diversity enhancement. Swarm Evol. Comput. 89: 101639 (2024) - [j206]Yuan Liu, Jiazheng Li, Juan Zou, Zhanglu Hou, Shengxiang Yang, Jinhua Zheng:
Continuous variation operator configuration for decomposition-based evolutionary multi-objective optimization. Swarm Evol. Comput. 89: 101644 (2024) - [j205]Yaru Hu, Jiankang Peng, Junwei Ou, Yana Li, Jinhua Zheng, Juan Zou, Shouyong Jiang, Shengxiang Yang, Jun Li:
The IGD-based prediction strategy for dynamic multi-objective optimization. Swarm Evol. Comput. 91: 101713 (2024) - [j204]Hai Xia, Changhe Li, Qingshan Tan, Sanyou Zeng, Shengxiang Yang:
Learning to search promising regions by space partitioning for evolutionary methods. Swarm Evol. Comput. 91: 101726 (2024) - [j203]Yang Chen, Dechang Pi, Shengxiang Yang, Yue Xu, Bi Wang, Yintong Wang:
A multi-strategy optimizer for energy minimization of multi-UAV-assisted mobile edge computing. Swarm Evol. Comput. 91: 101748 (2024) - [j202]Shiting Wang, Jinhua Zheng, Yingjie Zou, Yuan Liu, Juan Zou, Shengxiang Yang:
A population hierarchical-based evolutionary algorithm for large-scale many-objective optimization. Swarm Evol. Comput. 91: 101752 (2024) - [j201]Wei Song, Shaocong Liu, Xinjie Wang, Yinan Guo, Shengxiang Yang, Yaochu Jin:
Learning to Guide Particle Search for Dynamic Multiobjective Optimization. IEEE Trans. Cybern. 54(9): 5529-5542 (2024) - [j200]Yaru Hu, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang, Juan Zou, Rui Wang:
A Mahalanobis Distance-Based Approach for Dynamic Multiobjective Optimization With Stochastic Changes. IEEE Trans. Evol. Comput. 28(1): 238-251 (2024) - [j199]Juan Zou, Ruiqing Sun, Yuan Liu, Yaru Hu, Shengxiang Yang, Jinhua Zheng, Ke Li:
A Multipopulation Evolutionary Algorithm Using New Cooperative Mechanism for Solving Multiobjective Problems With Multiconstraint. IEEE Trans. Evol. Comput. 28(1): 267-280 (2024) - [j198]Yuanrui Li, Qiuhong Zhao, Shengxiang Yang, Yinan Guo:
Tailoring Evolutionary Algorithms to Solve the Multiobjective Location-Routing Problem for Biomass Waste Collection. IEEE Trans. Evol. Comput. 28(2): 489-500 (2024) - [j197]Qingda Chen, Jinliang Ding, Gary G. Yen, Shengxiang Yang, Tianyou Chai:
Multipopulation Evolution-Based Dynamic Constrained Multiobjective Optimization Under Diverse Changing Environments. IEEE Trans. Evol. Comput. 28(3): 763-777 (2024) - [j196]Guoyu Chen, Yinan Guo, Yong Wang, Jing J. Liang, Dunwei Gong, Shengxiang Yang:
Evolutionary Dynamic Constrained Multiobjective Optimization: Test Suite and Algorithm. IEEE Trans. Evol. Comput. 28(5): 1381-1395 (2024) - [j195]Juan Zou, Qi Deng, Yuan Liu, Xinjie Yang, Shengxiang Yang, Jinhua Zheng:
A Dynamic-Niching-Based Pareto Domination for Multimodal Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(5): 1529-1543 (2024) - [j194]Guoyu Chen, Yinan Guo, Min Jiang, Shengxiang Yang, Xiaoxiao Zhao, Dunwei Gong:
A Subspace-Knowledge Transfer Based Dynamic Constrained Multiobjective Evolutionary Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1500-1512 (2024) - [j193]Jie Chen, Shengxiang Yang, Xi Peng, Dezhong Peng, Zhu Wang:
Augmented Sparse Representation for Incomplete Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4058-4071 (2024) - [j192]Yue Xu, Dechang Pi, Shengxiang Yang, Enrico Zio:
Knowledge Transfer-Based Multifactorial Evolutionary Algorithm for Selective Maintenance Optimization of Multistate Complex Systems. IEEE Trans. Reliab. 73(2): 1341-1352 (2024) - [j191]Wei Song, Zhi Liu, Shaocong Liu, Xiaofeng Ding, Yinan Guo, Shengxiang Yang:
Particle Search Control Network for Dynamic Optimization. IEEE Trans. Syst. Man Cybern. Syst. 54(11): 6961-6976 (2024) - [c137]Xueqing Wang, Jinhua Zheng, Juan Zou, Zhanglu Hou, Shengxiang Yang, Yuan Liu:
A Dynamic Preference-driven Evolutionary Algorithm for Solving Dynamic Multi-objective Problems. GECCO Companion 2024: 379-382 - [c136]Juan Zou, Tianbin Xie, Qi Deng, Xiaozhong Yu, Shengxiang Yang, Jinhua Zheng:
Differential Evolution based on Local Grid Search for Multimodal Multiobjective Optimization with Local Pareto Fronts. GECCO Companion 2024: 399-402 - [c135]Valentine Oleka, Seyyed Mohsen Zahedi, Aboozar Taherkhani, Reza Baserinia, S. Abolfazl Zahedi, Shengxiang Yang:
Graph Convolutional Networks for Predicting Mechanical Characteristics of 3D Lattice Structures. Intelligent Information Processing (2) 2024: 150-160 - [c134]Stephen S. Aremu, Aboozar Taherkhani, Chang Liu, Shengxiang Yang:
3D Object Reconstruction with Deep Learning. Intelligent Information Processing (2) 2024: 161-175 - [c133]Saneet Fulsunder, Saidu Umar, Aboozar Taherkhani, Chang Liu, Shengxiang Yang:
Hand Gesture Recognition Using a Multi-modal Deep Neural Network. Intelligent Information Processing (2) 2024: 189-203 - [e6]Zhongzhi Shi, Jim Tørresen, Shengxiang Yang:
Intelligent Information Processing XII - 13th IFIP TC 12 International Conference, IIP 2024, Shenzhen, China, May 3-6, 2024, Proceedings, Part I. IFIP Advances in Information and Communication Technology 703, Springer 2024, ISBN 978-3-031-57807-6 [contents] - [e5]Zhongzhi Shi, Jim Tørresen, Shengxiang Yang:
Intelligent Information Processing XII - 13th IFIP TC 12 International Conference, IIP 2024, Shenzhen, China, May 3-6, 2024, Proceedings, Part II. IFIP Advances in Information and Communication Technology 704, Springer 2024, ISBN 978-3-031-57918-9 [contents] - [i15]Wenjian Luo, Peilan Xu, Shengxiang Yang, Yuhui Shi:
Benchmark for CEC 2024 Competition on Multiparty Multiobjective Optimization. CoRR abs/2402.02033 (2024) - [i14]Yizhang Xia, Shihao Song, Zhanglu Hou, Junwen Xu, Juan Zou, Yuan Liu, Shengxiang Yang:
An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition. CoRR abs/2403.18208 (2024) - 2023
- [j190]Jinhua Zheng, Bo Zhang, Juan Zou, Shengxiang Yang, Yaru Hu:
A dynamic multi-objective evolutionary algorithm based on Niche prediction strategy. Appl. Soft Comput. 142: 110359 (2023) - [j189]Yinan Guo, Yao Huang, Shirong Ge, Yizhe Zhang, Ersong Jiang, Bin Cheng, Shengxiang Yang:
Low-Carbon Routing Based on Improved Artificial Bee Colony Algorithm for Electric Trackless Rubber-Tyred Vehicles. Complex Syst. Model. Simul. 3(3): 169-190 (2023) - [j188]Conor Fahy, Shengxiang Yang, Mario Gongora:
Scarcity of Labels in Non-Stationary Data Streams: A Survey. ACM Comput. Surv. 55(2): 40:1-40:39 (2023) - [j187]Shouyong Jiang, Juan Zou, Shengxiang Yang, Xin Yao:
Evolutionary Dynamic Multi-objective Optimisation: A Survey. ACM Comput. Surv. 55(4): 76:1-76:47 (2023) - [j186]Jialiang Zhang, Juan Zou, Shengxiang Yang, Jinhua Zheng:
An evolutionary algorithm based on independently evolving sub-problems for multimodal multi-objective optimization. Inf. Sci. 619: 908-929 (2023) - [j185]Xin Li, Xiaoli Li, Kang Wang, Shengxiang Yang:
A strength pareto evolutionary algorithm based on adaptive reference points for solving irregular fronts. Inf. Sci. 626: 658-693 (2023) - [j184]Yingjie Zou, Yuan Liu, Juan Zou, Shengxiang Yang, Jinhua Zheng:
An evolutionary algorithm based on dynamic sparse grouping for sparse large scale multiobjective optimization. Inf. Sci. 631: 449-467 (2023) - [j183]Juan Zou, Jian Luo, Yuan Liu, Shengxiang Yang, Jinhua Zheng:
A flexible two-stage constrained multi-objective evolutionary algorithm based on automatic regulation. Inf. Sci. 634: 227-243 (2023) - [j182]Shiting Wang, Jin-Hua Zheng, Yuan Liu, Juan Zou, Sheng-Xiang Yang:
An extended fuzzy decision variables framework for solving large-scale multiobjective optimization problems. Inf. Sci. 643: 119221 (2023) - [j181]Weixiong Huang, Juan Zou, Yuan Liu, Shengxiang Yang, Jinhua Zheng:
Global and local feasible solution search for solving constrained multi-objective optimization. Inf. Sci. 649: 119467 (2023) - [j180]Yue Xu, Yuxuan Song, Dechang Pi, Yang Chen, Shuo Qin, Xiaoge Zhang, Shengxiang Yang:
A reinforcement learning-based multi-objective optimization in an interval and dynamic environment. Knowl. Based Syst. 280: 111019 (2023) - [j179]Likai Wang, Qingyang Zhang, Xiangyu He, Shengxiang Yang, Shouyong Jiang, Yongquan Dong:
Biological survival optimization algorithm with its engineering and neural network applications. Soft Comput. 27(10): 6437-6463 (2023) - [j178]Kaixi Yang, Jinhua Zheng, Juan Zou, Fan Yu, Shengxiang Yang:
A dual-population evolutionary algorithm based on adaptive constraint strength for constrained multi-objective optimization. Swarm Evol. Comput. 77: 101247 (2023) - [j177]Jinhua Zheng, Zhenfang Du, Juan Zou, Shengxiang Yang:
A weight vector generation method based on normal distribution for preference-based multi-objective optimization. Swarm Evol. Comput. 77: 101250 (2023) - [j176]Li Yan, Wenlong Qi, A. Kai Qin, Shengxiang Yang, Dunwei Gong, Boyang Qu, Jing Liang:
Manifold clustering-based prediction for dynamic multiobjective optimization. Swarm Evol. Comput. 77: 101254 (2023) - [j175]Zedong Zheng, Shengxiang Yang, Yinan Guo, Xiaolong Jin, Rui Wang:
Meta-heuristic Techniques in Microgrid Management: A Survey. Swarm Evol. Comput. 78: 101256 (2023) - [j174]Jinhua Zheng, Qishuang Wu, Juan Zou, Shengxiang Yang, Yaru Hu:
A dynamic multi-objective evolutionary algorithm using adaptive reference vector and linear prediction. Swarm Evol. Comput. 78: 101281 (2023) - [j173]Jinhua Zheng, Fei Zhou, Juan Zou, Shengxiang Yang, Yaru Hu:
A dynamic multi-objective optimization based on a hybrid of pivot points prediction and diversity strategies. Swarm Evol. Comput. 78: 101284 (2023) - [j172]Fengxia Wang, Min Huang, Shengxiang Yang, Xingwei Wang:
Penalty and prediction methods for dynamic constrained multi-objective optimization. Swarm Evol. Comput. 80: 101317 (2023) - [j171]Jintong Yang, Juan Zou, Shengxiang Yang, Yaru Hu, Jinhua Zheng, Yuan Liu:
A particle swarm algorithm based on the dual search strategy for dynamic multi-objective optimization. Swarm Evol. Comput. 83: 101385 (2023) - [j170]Jian Feng, Shaoning Liu, Shengxiang Yang, Jun Zheng, Jinze Liu:
An adaptive tradeoff evolutionary algorithm with composite differential evolution for constrained multi-objective optimization. Swarm Evol. Comput. 83: 101386 (2023) - [j169]Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni, Simon Colreavy-Donnelly, Wojciech Samek, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. IEEE Trans. Artif. Intell. 4(2): 282-291 (2023) - [j168]Yue Xu, Dechang Pi, Shengxiang Yang, Yang Chen, Shuo Qin, Enrico Zio:
An Angle-Based Bi-Objective Optimization Algorithm for Redundancy Allocation in Presence of Interval Uncertainty. IEEE Trans Autom. Sci. Eng. 20(1): 271-284 (2023) - [j167]Yaru Hu, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang, Juan Zou:
Handling Dynamic Multiobjective Optimization Environments via Layered Prediction and Subspace-Based Diversity Maintenance. IEEE Trans. Cybern. 53(4): 2572-2585 (2023) - [j166]Jie Chen, Zhu Wang, Shengxiang Yang, Hua Mao:
Two-Stage Sparse Representation Clustering for Dynamic Data Streams. IEEE Trans. Cybern. 53(10): 6408-6420 (2023) - [j165]Xu Yang, Juan Zou, Shengxiang Yang, Jinhua Zheng, Yuan Liu:
A Fuzzy Decision Variables Framework for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 27(3): 445-459 (2023) - [j164]Botao Jiao, Yinan Guo, Shengxiang Yang, Jiayang Pu, Dunwei Gong:
Reduced-Space Multistream Classification Based on Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. 27(4): 764-777 (2023) - [j163]Ruiqing Sun, Juan Zou, Yuan Liu, Shengxiang Yang, Jinhua Zheng:
A Multistage Algorithm for Solving Multiobjective Optimization Problems With Multiconstraints. IEEE Trans. Evol. Comput. 27(5): 1207-1219 (2023) - [j162]Junchen Wang, Changhe Li, Sanyou Zeng, Shengxiang Yang:
History-Guided Hill Exploration for Evolutionary Computation. IEEE Trans. Evol. Comput. 27(6): 1962-1975 (2023) - [j161]Conor Fahy, Shengxiang Yang, Mario Gongora:
Classification in Dynamic Data Streams With a Scarcity of Labels. IEEE Trans. Knowl. Data Eng. 35(4): 3512-3524 (2023) - [j160]Jie Chen, Shengxiang Yang, Zhu Wang, Hua Mao:
Efficient Sparse Representation for Learning With High-Dimensional Data. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4208-4222 (2023) - [c132]Anju Yang, Yuan Liu, Juan Zou, Shengxiang Yang:
Decomposed Multi-objective Method Based on Q-Learning for Solving Multi-objective Combinatorial Optimization Problem. BIC-TA (1) 2023: 59-73 - [c131]Qingshan Tan, Changhe Li, Sanyou Zeng, Shengxiang Yang:
A Subspace-Based Non-Dominated Subset Selection Method. CEC 2023: 1-8 - [c130]Yaqi Ti, Changhe Li, Shengxiang Yang:
A Test Suite and An Optimizer for Dietary Nutrition Optimization Problem: From Constrained Many-Objective Perspective. CEC 2023: 1-8 - [c129]Shiting Wang, Jin-Hua Zheng, Juan Zou, Yuan Liu, Sheng-Xiang Yang, Yingjie Zou:
A Fuzzy Decision Variables Framework Based on Directed Sampling for Large-scale Multiobjective Optimization. GECCO Companion 2023: 419-422 - [c128]Yiya Diao, Changhe Li, Sanyou Zeng, Shengxiang Yang:
Nearest better network for visualization of the fitness landscape. GECCO Companion 2023: 815-818 - [c127]Conor Fahy, Shengxiang Yang:
An Evolving Population Approach to Data-Stream Classification with Extreme Verification Latency. SSCI 2023: 1843-1848 - [i13]Shouyong Jiang, Yong Wang, Yaru Hu, Qingyang Zhang, Shengxiang Yang:
Vector Autoregressive Evolution for Dynamic Multi-Objective Optimisation. CoRR abs/2305.12752 (2023) - [i12]Conor Fahy, Shengxiang Yang:
An Evolving Population Approach to Data-Stream Classification with Extreme Verification Latency. CoRR abs/2312.14948 (2023) - 2022
- [j159]Xiaojun Zhou, Yuan Gao, Shengxiang Yang, Chunhua Yang, Jiajia Zhou:
A multiobjective state transition algorithm based on modified decomposition method. Appl. Soft Comput. 119: 108553 (2022) - [j158]Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni:
Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: A novel approach using feature densities. Appl. Soft Comput. 123: 108983 (2022) - [j157]Yinan Guo, Jiawei Feng, Botao Jiao, Ning Cui, Shengxiang Yang, Zekuan Yu:
A dual evolutionary bagging for class imbalance learning. Expert Syst. Appl. 206: 117843 (2022) - [j156]Biao Xu, Dunwei Gong, Yong Zhang, Shengxiang Yang, Ling Wang, Zhun Fan, Yonggang Zhang:
Cooperative co-evolutionary algorithm for multi-objective optimization problems with changing decision variables. Inf. Sci. 607: 278-296 (2022) - [j155]Sheng Qi, Juan Zou, Shengxiang Yang, Yaochu Jin, Jinhua Zheng, Xu Yang:
A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization. Inf. Sci. 609: 1601-1620 (2022) - [j154]Qingyang Zhang, Xiangyu He, Shengxiang Yang, Yongquan Dong, Hui Song, Shouyong Jiang:
Solving dynamic multi-objective problems using polynomial fitting-based prediction algorithm. Inf. Sci. 610: 868-886 (2022) - [j153]Xiaoshu Xiang, Ye Tian, Ran Cheng, Xingyi Zhang, Shengxiang Yang, Yaochu Jin:
A benchmark generator for online dynamic single-objective and multi-objective optimization problems. Inf. Sci. 613: 591-608 (2022) - [j152]Jie Chen, Shengxiang Yang, Zhu Wang:
Multi-view representation learning for data stream clustering. Inf. Sci. 613: 731-746 (2022) - [j151]Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David A. Elizondo, Shengxiang Yang, Armaghan Moemeni, Miguel A. Molina-Cabello:
A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica. Medical Biol. Eng. Comput. 60(4): 1159-1175 (2022) - [j150]Zhenghui Zhang, Juan Zou, Shengxiang Yang, Jinhua Zheng, Dunwei Gong, Tingrui Pei:
A reconstruction method for cross-cut shredded documents based on the extreme learning machine algorithm. Soft Comput. 26(22): 12851-12862 (2022) - [j149]Huanrong Tang, Fan Yu, Juan Zou, Shengxiang Yang, Jinhua Zheng:
A constrained multi-objective evolutionary strategy based on population state detection. Swarm Evol. Comput. 68: 100978 (2022) - [j148]Xin Lin, Wenjian Luo, Peilan Xu, Yingying Qiao, Shengxiang Yang:
PopDMMO: A general framework of population-based stochastic search algorithms for dynamic multimodal optimization. Swarm Evol. Comput. 68: 101011 (2022) - [j147]Jinhua Zheng, Zeyu Zhang, Juan Zou, Shengxiang Yang, Junwei Ou, Yaru Hu:
A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution. Swarm Evol. Comput. 69: 100987 (2022) - [j146]Ying Chen, Juan Zou, Yuan Liu, Shengxiang Yang, Jinhua Zheng, Weixiong Huang:
Combining a hybrid prediction strategy and a mutation strategy for dynamic multiobjective optimization. Swarm Evol. Comput. 70: 101041 (2022) - [j145]Sheng Qi, Juan Zou, Shengxiang Yang, Jinhua Zheng:
A level-based multi-strategy learning swarm optimizer for large-Scale multi-objective optimization. Swarm Evol. Comput. 73: 101100 (2022) - [j144]Qiuyue Liu, Juan Zou, Shengxiang Yang, Jinhua Zheng:
A multiobjective evolutionary algorithm based on decision variable classification for many-objective optimization. Swarm Evol. Comput. 73: 101108 (2022) - [j143]Matthew Fox, Shengxiang Yang, Fabio Caraffini:
A new moving peaks benchmark with attractors for dynamic evolutionary algorithms. Swarm Evol. Comput. 74: 101125 (2022) - [j142]Yanping Wang, Yuan Liu, Juan Zou, Jinhua Zheng, Shengxiang Yang:
A novel two-phase evolutionary algorithm for solving constrained multi-objective optimization problems. Swarm Evol. Comput. 75: 101166 (2022) - [j141]Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo:
Semisupervised Deep Learning for Image Classification With Distribution Mismatch: A Survey. IEEE Trans. Artif. Intell. 3(6): 1015-1029 (2022) - [j140]Conor Fahy, Shengxiang Yang:
Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams. IEEE Trans. Big Data 8(1): 178-192 (2022) - [j139]Zhengping Liang, Tiancheng Wu, Xiaoliang Ma, Zexuan Zhu, Shengxiang Yang:
A Dynamic Multiobjective Evolutionary Algorithm Based on Decision Variable Classification. IEEE Trans. Cybern. 52(3): 1602-1615 (2022) - [j138]Qiongbing Zhang, Shengxiang Yang, Min Liu, Jianxun Liu, Lei Jiang:
A New Crossover Mechanism for Genetic Algorithms for Steiner Tree Optimization. IEEE Trans. Cybern. 52(5): 3147-3158 (2022) - [j137]Lianbo Ma, Min Huang, Shengxiang Yang, Rui Wang, Xingwei Wang:
An Adaptive Localized Decision Variable Analysis Approach to Large-Scale Multiobjective and Many-Objective Optimization. IEEE Trans. Cybern. 52(7): 6684-6696 (2022) - [j136]Yunhe Wang, Xiangtao Li, Ka-Chun Wong, Yi Chang, Shengxiang Yang:
Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification. IEEE Trans. Cybern. 52(10): 11027-11040 (2022) - [j135]Jie Chen, Shengxiang Yang, Hua Mao, Conor Fahy:
Multiview Subspace Clustering Using Low-Rank Representation. IEEE Trans. Cybern. 52(11): 12364-12378 (2022) - [j134]Lianbo Ma, Nan Li, Yinan Guo, Xingwei Wang, Shengxiang Yang, Min Huang, Hao Zhang:
Learning to Optimize: Reference Vector Reinforcement Learning Adaption to Constrained Many-Objective Optimization of Industrial Copper Burdening System. IEEE Trans. Cybern. 52(12): 12698-12711 (2022) - [j133]Yingbo Xie, Shengxiang Yang, Ding Wang, Junfei Qiao, Baocai Yin:
Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge. IEEE Trans. Evol. Comput. 26(3): 542-554 (2022) - [j132]Yang Chen, Dechang Pi, Shengxiang Yang, Yue Xu, Junfu Chen, Ali Wagdy Mohamed:
HNIO: A Hybrid Nature-Inspired Optimization Algorithm for Energy Minimization in UAV-Assisted Mobile Edge Computing. IEEE Trans. Netw. Serv. Manag. 19(3): 3264-3275 (2022) - [j131]Yunhe Wang, Chuang Bian, Ka-Chun Wong, Xiangtao Li, Shengxiang Yang:
Multiobjective Deep Clustering and its Applications in Single-cell RNA-seq Data. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 5016-5027 (2022) - [c126]Hai Xia, Changhe Li, Sanyou Zeng, Qingshan Tan, Junchen Wang, Shengxiang Yang:
Learning to Search Promising Regions by a Monte-Carlo Tree Model. CEC 2022: 1-8 - [c125]Jinhua Zheng, Kaixi Yang, Juan Zou, Shengxiang Yang:
Combining State Detection with Knowledge Transfer for Constrained Multi-objective Optimization. ICTAI 2022: 712-719 - [i11]Wenjian Luo, Xin Lin, Changhe Li, Shengxiang Yang, Yuhui Shi:
Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments. CoRR abs/2201.00523 (2022) - [i10]Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo:
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey. CoRR abs/2203.00190 (2022) - 2021
- [j130]Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, Simon Colreavy-Donnelly, David A. Elizondo, Luis Oala, Jorge Rodríguez-Capitán, Manuel Jiménez-Navarro, Ezequiel López-Rubio, Miguel A. Molina-Cabello:
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images. IEEE Access 9: 85442-85454 (2021) - [j129]Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello:
Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images. Appl. Soft Comput. 111: 107692 (2021) - [j128]Zhengping Liang, Ya Zou, Shunxiang Zheng, Shengxiang Yang, Zexuan Zhu:
A feedback-based prediction strategy for dynamic multi-objective evolutionary optimization. Expert Syst. Appl. 172: 114594 (2021) - [j127]Yinan Guo, Botao Jiao, Lingkai Yang, Jian Cheng, Shengxiang Yang, Fengzhen Tang:
A novel oversampling technique based on the manifold distance for class imbalance learning. Int. J. Bio Inspired Comput. 18(3): 131-142 (2021) - [j126]Huipeng Xie, Juan Zou, Shengxiang Yang, Jinhua Zheng, Junwei Ou, Yaru Hu:
A decision variable classification-based cooperative coevolutionary algorithm for dynamic multiobjective optimization. Inf. Sci. 560: 307-330 (2021) - [j125]Jinlong Zhou, Juan Zou, Shengxiang Yang, Jinhua Zheng, Dunwei Gong, Tingrui Pei:
Niche-based and angle-based selection strategies for many-objective evolutionary optimization. Inf. Sci. 571: 133-153 (2021) - [j124]Yaru Hu, Jinhua Zheng, Juan Zou, Shouyong Jiang, Shengxiang Yang:
Dynamic multi-objective optimization algorithm based decomposition and preference. Inf. Sci. 571: 175-190 (2021) - [j123]Zhipan Li, Juan Zou, Shengxiang Yang, Jinhua Zheng:
A two-archive algorithm with decomposition and fitness allocation for multi-modal multi-objective optimization. Inf. Sci. 574: 413-430 (2021) - [j122]Juan Zou, Ruiqing Sun, Shengxiang Yang, Jinhua Zheng:
A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems. Inf. Sci. 579: 89-102 (2021) - [j121]Juan Zou, Zhenghui Zhang, Jinhua Zheng, Shengxiang Yang:
A many-objective evolutionary algorithm based on dominance and decomposition with reference point adaptation. Knowl. Based Syst. 231: 107392 (2021) - [j120]Xin Li, Xiaoli Li, Kang Wang, Shengxiang Yang, Yang Li:
Achievement scalarizing function sorting for strength Pareto evolutionary algorithm in many-objective optimization. Neural Comput. Appl. 33(11): 6369-6388 (2021) - [j119]Yue Xu, Dechang Pi, Shengxiang Yang, Yang Chen:
A novel discrete bat algorithm for heterogeneous redundancy allocation of multi-state systems subject to probabilistic common-cause failure. Reliab. Eng. Syst. Saf. 208: 107338 (2021) - [j118]Jinlong Zhou, Juan Zou, Jinhua Zheng, Shengxiang Yang, Dunwei Gong, Tingrui Pei:
An infeasible solutions diversity maintenance epsilon constraint handling method for evolutionary constrained multiobjective optimization. Soft Comput. 25(13): 8051-8062 (2021) - [j117]Juan Zou, Jing Liu, Jinhua Zheng, Shengxiang Yang:
A many-objective algorithm based on staged coordination selection. Swarm Evol. Comput. 60: 100737 (2021) - [j116]Juan Zou, Jing Liu, Shengxiang Yang, Jinhua Zheng:
A many-objective evolutionary algorithm based on rotation and decomposition. Swarm Evol. Comput. 60: 100775 (2021) - [j115]Jinhua Zheng, Yubing Zhou, Juan Zou, Shengxiang Yang, Junwei Ou, Yaru Hu:
A prediction strategy based on decision variable analysis for dynamic Multi-objective Optimization. Swarm Evol. Comput. 60: 100786 (2021) - [j114]Sanyi Li, Shengxiang Yang, Yanfeng Wang, Weichao Yue, Junfei Qiao:
A modular neural network-based population prediction strategy for evolutionary dynamic multi-objective optimization. Swarm Evol. Comput. 62: 100829 (2021) - [j113]Gan Ruan, Jinhua Zheng, Juan Zou, Zhongwei Ma, Shengxiang Yang:
A random benchmark suite and a new reaction strategy in dynamic multiobjective optimization. Swarm Evol. Comput. 63: 100867 (2021) - [j112]Ruwang Jiao, Sanyou Zeng, Changhe Li, Shengxiang Yang, Yew-Soon Ong:
Handling Constrained Many-Objective Optimization Problems via Problem Transformation. IEEE Trans. Cybern. 51(10): 4834-4847 (2021) - [c124]Qingshan Tan, Changhe Li, Hai Xia, Sanyou Zeng, Shengxiang Yang:
A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization Problems. CEC 2021: 111-118 - [c123]Hai Xia, Changhe Li, Sanyou Zeng, Qingshan Tan, Junchen Wang, Shengxiang Yang:
A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems. CEC 2021: 1938-1945 - [c122]Hui Yuan, Raouf Hamzaoui, Ferrante Neri, Shengxiang Yang:
Model-Based Rate-Distortion Optimized Video-Based Point Cloud Compression with Differential Evolution. ICIG (1) 2021: 735-747 - [c121]Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, Luis-Alexander Calvo-Valverde, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Ezequiel López-Rubio, Miguel A. Molina-Cabello:
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning. IJCNN 2021: 1-8 - [c120]Hui Yuan, Raouf Hamzaoui, Ferrante Neri, Shengxiang Yang, Tingting Wang:
Global Rate-distortion Optimization of Video-based Point Cloud Compression with Differential Evolution. MMSP 2021: 1-6 - [c119]Baojian Chen, Changhe Li, Sanyou Zeng, Shengxiang Yang, Michalis Mavrovouniotis:
An Adaptive Evolutionary Algorithm for Bi- Level Multi-objective VRPs with Real-Time Traffic Conditions. SSCI 2021: 1-8 - [i9]Danial Yazdani, Jürgen Branke, Mohammad Nabi Omidvar, Changhe Li, Michalis Mavrovouniotis, Trung Thanh Nguyen, Shengxiang Yang, Xin Yao:
Generalized Moving Peaks Benchmark. CoRR abs/2106.06174 (2021) - [i8]Mohammad Nabi Omidvar, Danial Yazdani, Jürgen Branke, Xiaodong Li, Shengxiang Yang, Xin Yao:
Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark. CoRR abs/2107.11019 (2021) - [i7]Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David A. Elizondo, Shengxiang Yang, Miguel A. Molina-Cabello:
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica. CoRR abs/2107.11696 (2021) - [i6]Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni:
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities. CoRR abs/2109.00889 (2021) - 2020
- [j111]Juan Zou, Qite Yang, Shengxiang Yang, Jinhua Zheng:
Ra-dominance: A new dominance relationship for preference-based evolutionary multiobjective optimization. Appl. Soft Comput. 90: 106192 (2020) - [j110]Xiaoli Li, Shiqi Shen, Shengxiang Yang, Kang Wang, Yang Li:
Analysis and multi-objective optimization of slag powder process. Appl. Soft Comput. 96: 106587 (2020) - [j109]Michalis Mavrovouniotis, Shengxiang Yang, Mien Van, Changhe Li, Marios M. Polycarpou:
Ant Colony Optimization Algorithms for Dynamic Optimization: A Case Study of the Dynamic Travelling Salesperson Problem [Research Frontier]. IEEE Comput. Intell. Mag. 15(1): 52-63 (2020) - [j108]Zhaoke Huang, Chunhua Yang, Xiaojun Zhou, Shengxiang Yang:
Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive State Transition Algorithm. Cogn. Comput. 12(2): 357-368 (2020) - [j107]Junfei Qiao, Fei Li, Shengxiang Yang, Cuili Yang, Wenjing Li, Ke Gu:
An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection. Inf. Sci. 512: 446-470 (2020) - [j106]Shouyong Jiang, Hongru Li, Jinglei Guo, Mingjun Zhong, Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor:
AREA: An adaptive reference-set based evolutionary algorithm for multiobjective optimisation. Inf. Sci. 515: 365-387 (2020) - [j105]Juan Zou, Qi Deng, Jinhua Zheng, Shengxiang Yang:
A close neighbor mobility method using particle swarm optimizer for solving multimodal optimization problems. Inf. Sci. 519: 332-347 (2020) - [j104]Yaru Hu, Jinhua Zheng, Juan Zou, Shengxiang Yang, Junwei Ou, Rui Wang:
A dynamic multi-objective evolutionary algorithm based on intensity of environmental change. Inf. Sci. 523: 49-62 (2020) - [j103]Yaru Hu, Junwei Ou, Jinhua Zheng, Juan Zou, Shengxiang Yang, Gan Ruan:
Solving dynamic multi-objective problems with an evolutionary multi-directional search approach. Knowl. Based Syst. 194: 105175 (2020) - [j102]Qing-da Chen, Jinliang Ding, Shengxiang Yang, Tianyou Chai:
Constrained Operational Optimization of a Distillation Unit in Refineries With Varying Feedstock Properties. IEEE Trans. Control. Syst. Technol. 28(6): 2752-2761 (2020) - [j101]Shouyong Jiang, Marcus Kaiser, Shengxiang Yang, Stefanos D. Kollias, Natalio Krasnogor:
A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization. IEEE Trans. Cybern. 50(6): 2814-2826 (2020) - [j100]Dunwei Gong, Biao Xu, Yong Zhang, Yi-Nan Guo, Shengxiang Yang:
A Similarity-Based Cooperative Co-Evolutionary Algorithm for Dynamic Interval Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 24(1): 142-156 (2020) - [j99]Qingyang Zhang, Shengxiang Yang, Shouyong Jiang, Ronggui Wang, Xiaoli Li:
Novel Prediction Strategies for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 24(2): 260-274 (2020) - [j98]Qing-da Chen, Jinliang Ding, Shengxiang Yang, Tianyou Chai:
A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 24(4): 792-806 (2020) - [c118]Guangwu Cui, Ruimin Shen, Yingfeng Chen, Juan Zou, Shengxiang Yang, Changjie Fan, Jinghua Zheng:
Reinforced Evolutionary Algorithms for Game Difficulty Control. ACAI 2020: 33:1-33:7 - [c117]Matthew Fox, Shengxiang Yang, Fabio Caraffini:
An Experimental Study of Prediction Methods in Robust optimization Over Time. CEC 2020: 1-7 - [c116]Wenjie Liu, Wenjian Luo, Xin Lin, Miqing Li, Shengxiang Yang:
Evolutionary Approach to Multiparty Multiobjective Optimization Problems with Common Pareto Optimal Solutions. CEC 2020: 1-9 - [c115]Zedong Zheng, Shengxiang Yang:
Particle Swarm Optimisation for Scheduling Electric Vehicles with Microgrids. CEC 2020: 1-7 - [c114]Jinglei Guo, Miaomiao Shao, Shouyong Jiang, Shengxiang Yang:
An improved multiobjective optimization evolutionary algorithm based on decomposition with hybrid penalty scheme. GECCO Companion 2020: 165-166 - [c113]Long Xiao, Changhe Li, Junchen Wang, Michalis Mavrovouniotis, Shengxiang Yang, Xiaorong Dan:
Modeling and Evolutionary Optimization for Multi-objective Vehicle Routing Problem with Real-time Traffic Conditions. ICMLC 2020: 518-523 - [c112]Saúl Calderón Ramírez, Raghvendra Giri, Shengxiang Yang, Armaghan Moemeni, Mario Umaña, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello:
Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images. ICPR 2020: 5294-5301 - [c111]Ariana Bermudez, Saúl Calderón Ramírez, Trevor Thang, Pascal N. Tyrrell, Armaghan Moemeni, Shengxiang Yang, Jordina Torrents-Barrena:
A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning. IJCNN 2020: 1-6 - [i5]Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, Armaghan Moemeni, Wojciech Samek, Miguel A. Molina-Cabello:
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures. CoRR abs/2006.07767 (2020) - [i4]Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello:
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images. CoRR abs/2008.08496 (2020)
2010 – 2019
- 2019
- [j97]Conor Fahy, Shengxiang Yang:
Dynamic Feature Selection for Clustering High Dimensional Data Streams. IEEE Access 7: 127128-127140 (2019) - [j96]Junfei Qiao, Hongbiao Zhou, Cuili Yang, Shengxiang Yang:
A decomposition-based multiobjective evolutionary algorithm with angle-based adaptive penalty. Appl. Soft Comput. 74: 190-205 (2019) - [j95]Junwei Ou, Jinhua Zheng, Gan Ruan, Yaru Hu, Juan Zou, Miqing Li, Shengxiang Yang, Xu Tan:
A pareto-based evolutionary algorithm using decomposition and truncation for dynamic multi-objective optimization. Appl. Soft Comput. 85 (2019) - [j94]He Xu, Weiwei Shen, Peng Li, Keith Mayes, Ruchuan Wang, Dashen Li, Shengxiang Yang:
Novel implementation of defence strategy of relay attack based on cloud in RFID systems. Int. J. Inf. Comput. Secur. 11(2): 120-144 (2019) - [j93]Hui Bai, Jinhua Zheng, Guo Yu, Shengxiang Yang, Juan Zou:
A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation. Inf. Sci. 478: 186-207 (2019) - [j92]Zhengping Liang, Shunxiang Zheng, Zexuan Zhu, Shengxiang Yang:
Hybrid of memory and prediction strategies for dynamic multiobjective optimization. Inf. Sci. 485: 200-218 (2019) - [j91]Renato Tinós, Shengxiang Yang:
A framework for inducing artificial changes in optimization problems. Inf. Sci. 485: 486-504 (2019) - [j90]Juan Zou, Liuwei Fu, Shengxiang Yang, Jinhua Zheng, Gan Ruan, Tingrui Pei, Lei Wang:
An adaptation reference-point-based multiobjective evolutionary algorithm. Inf. Sci. 488: 41-57 (2019) - [j89]Qingya Li, Juan Zou, Shengxiang Yang, Jinhua Zheng, Gan Ruan:
A predictive strategy based on special points for evolutionary dynamic multi-objective optimization. Soft Comput. 23(11): 3723-3739 (2019) - [j88]Jinglei Guo, Zhijian Li, Shengxiang Yang:
Accelerating differential evolution based on a subset-to-subset survivor selection operator. Soft Comput. 23(12): 4113-4130 (2019) - [j87]Qingyang Zhang, Ronggui Wang, Juan Yang, Andrew Lewis, Francisco Chiclana, Shengxiang Yang:
Biology migration algorithm: a new nature-inspired heuristic methodology for global optimization. Soft Comput. 23(16): 7333-7358 (2019) - [j86]Juan Zou, Qingya Li, Shengxiang Yang, Jinhua Zheng, Zhou Peng, Tingrui Pei:
A dynamic multiobjective evolutionary algorithm based on a dynamic evolutionary environment model. Swarm Evol. Comput. 44: 247-259 (2019) - [j85]Juan Zou, Chunhui Ji, Shengxiang Yang, Yuping Zhang, Jinhua Zheng, Ke Li:
A knee-point-based evolutionary algorithm using weighted subpopulation for many-objective optimization. Swarm Evol. Comput. 47: 33-43 (2019) - [j84]Yong Wang, Jian Yu, Shengxiang Yang, Shouyong Jiang, Shuang Zhao:
Evolutionary dynamic constrained optimization: Test suite construction and algorithm comparisons. Swarm Evol. Comput. 50 (2019) - [j83]Zhen Wang, Jihui Zhang, Shengxiang Yang:
An improved particle swarm optimization algorithm for dynamic job shop scheduling problems with random job arrivals. Swarm Evol. Comput. 51 (2019) - [j82]Zhi-Zhong Liu, Yong Wang, Shengxiang Yang, Ke Tang:
An Adaptive Framework to Tune the Coordinate Systems in Nature-Inspired Optimization Algorithms. IEEE Trans. Cybern. 49(4): 1403-1416 (2019) - [j81]Yong Wang, Da-Qing Yin, Shengxiang Yang, Guangyong Sun:
Global and Local Surrogate-Assisted Differential Evolution for Expensive Constrained Optimization Problems With Inequality Constraints. IEEE Trans. Cybern. 49(5): 1642-1656 (2019) - [j80]Conor Fahy, Shengxiang Yang, Mario Gongora:
Ant Colony Stream Clustering: A Fast Density Clustering Algorithm for Dynamic Data Streams. IEEE Trans. Cybern. 49(6): 2215-2228 (2019) - [j79]Wei Fang, Lingzhi Zhang, Shengxiang Yang, Jun Sun, Xiaojun Wu:
A Multiobjective Evolutionary Algorithm Based on Coordinate Transformation. IEEE Trans. Cybern. 49(7): 2732-2743 (2019) - [c110]Zedong Zheng, Shengxiang Yang:
A Two-layer Optimization Management Method for the Microgrid with Electric Vehicles. CEC 2019: 1102-1109 - [c109]Yiya Diao, Changhe Li, Sanyou Zeng, Michalis Mavrovouniotis, Shengxiang Yang:
Memory-based multi-population genetic learning for dynamic shortest path problems. CEC 2019: 2276-2283 - [c108]Xiaofang Wu, Changhe Li, Sanyou Zeng, Shengxiang Yang:
A Novel Multi-objective Evolutionary Algorithm Based on Space Partitioning. ISICA 2019: 127-142 - [i3]Shouyong Jiang, Marcus Kaiser, Shengxiang Yang, Stefanos D. Kollias, Natalio Krasnogor:
A Scalable Test Suite for Continuous Dynamic Multiobjective Optimisation. CoRR abs/1903.02510 (2019) - [i2]Shouyong Jiang, Hongru Li, Jinglei Guo, Mingjun Zhong, Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor:
AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation. CoRR abs/1910.07491 (2019) - 2018
- [j78]Juan Zou, Yuping Zhang, Shengxiang Yang, Yuan Liu, Jinhua Zheng:
Adaptive neighborhood selection for many-objective optimization problems. Appl. Soft Comput. 64: 186-198 (2018) - [j77]Juan Zou, Liuwei Fu, Jinhua Zheng, Shengxiang Yang, Guo Yu, Yaru Hu:
A many-objective evolutionary algorithm based on rotated grid. Appl. Soft Comput. 67: 596-609 (2018) - [j76]Muhanad Tahrir Younis, Shengxiang Yang:
Hybrid meta-heuristic algorithms for independent job scheduling in grid computing. Appl. Soft Comput. 72: 498-517 (2018) - [j75]Kang Wang, Xiaoli Li, Chao Jia, Shengxiang Yang, Miqing Li, Yang Li:
Multiobjective optimization of the production process for ground granulated blast furnace slags. Soft Comput. 22(24): 8177-8186 (2018) - [j74]Miqing Li, Crina Grosan, Shengxiang Yang, Xiaohui Liu, Xin Yao:
Multiline Distance Minimization: A Visualized Many-Objective Test Problem Suite. IEEE Trans. Evol. Comput. 22(1): 61-78 (2018) - [j73]Shouyong Jiang, Shengxiang Yang, Yong Wang, Xiaobin Liu:
Scalarizing Functions in Decomposition-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 22(2): 296-313 (2018) - [j72]Hui Cheng, Xin Yao, Shengxiang Yang, Mengjie Zhang:
Guest Editorial: Special Issue on Computational Intelligence for Cloud Computing. IEEE Trans. Emerg. Top. Comput. Intell. 2(1): 1-2 (2018) - [j71]Yong Wang, Hao Liu, Huan Long, Zijun Zhang, Shengxiang Yang:
Differential Evolution With a New Encoding Mechanism for Optimizing Wind Farm Layout. IEEE Trans. Ind. Informatics 14(3): 1040-1054 (2018) - [c107]Shouyong Jiang, Marcus Kaiser, Shuzhen Wan, Jinglei Guo, Shengxiang Yang, Natalio Krasnogor:
An Empirical Study of Dynamic Triobjective Optimisation Problems. CEC 2018: 1-8 - [c106]Muhanad Tahrir Younis, Shengxiang Yang, Benjamin N. Passow:
A Loosely Coupled Hybrid Meta-Heuristic Algorithm for the Static Independent Task Scheduling Problem in Grid Computing. CEC 2018: 1-8 - [c105]Shouyong Jiang, Marcus Kaiser, Jinglei Guo, Shengxiang Yang, Natalio Krasnogor:
Less detectable environmental changes in dynamic multiobjective optimisation. GECCO 2018: 673-680 - [c104]Zhanglu Hou, Shengxiang Yang, Juan Zou, Jinhua Zheng, Guo Yu, Gan Ruan:
A Performance Indicator for Reference-Point-Based Multiobjective Evolutionary Optimization. SSCI 2018: 1571-1578 - [c103]Jianwei Zhou, Juan Zou, Shengxiang Yang, Gan Ruan, Junwei Ou, Jinhua Zheng:
An Evolutionary Dynamic Multi-objective Optimization Algorithm Based on Center-point Prediction and Sub-population Autonomous Guidance. SSCI 2018: 2148-2154 - 2017
- [j70]Gan Ruan, Guo Yu, Jinhua Zheng, Juan Zou, Shengxiang Yang:
The effect of diversity maintenance on prediction in dynamic multi-objective optimization. Appl. Soft Comput. 58: 631-647 (2017) - [j69]Juan Zou, Qingya Li, Shengxiang Yang, Hui Bai, Jinhua Zheng:
A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization. Appl. Soft Comput. 61: 806-818 (2017) - [j68]Xingwei Wang, Jinhong Zhang, Min Huang, Shengxiang Yang:
A green intelligent routing algorithm supporting flexible QoS for many-to-many multicast. Comput. Networks 126: 229-245 (2017) - [j67]Shengxiang Yang, Shouyong Jiang, Yong Jiang:
Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes. Soft Comput. 21(16): 4677-4691 (2017) - [j66]Michalis Mavrovouniotis, Changhe Li, Shengxiang Yang:
A survey of swarm intelligence for dynamic optimization: Algorithms and applications. Swarm Evol. Comput. 33: 1-17 (2017) - [j65]Shouyong Jiang, Shengxiang Yang:
Evolutionary Dynamic Multiobjective Optimization: Benchmarks and Algorithm Comparisons. IEEE Trans. Cybern. 47(1): 198-211 (2017) - [j64]Michalis Mavrovouniotis, Felipe Martins Müller, Shengxiang Yang:
Ant Colony Optimization With Local Search for Dynamic Traveling Salesman Problems. IEEE Trans. Cybern. 47(7): 1743-1756 (2017) - [j63]Shouyong Jiang, Shengxiang Yang:
A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 21(1): 65-82 (2017) - [j62]Shouyong Jiang, Shengxiang Yang:
A Strength Pareto Evolutionary Algorithm Based on Reference Direction for Multiobjective and Many-Objective Optimization. IEEE Trans. Evol. Comput. 21(3): 329-346 (2017) - [j61]Yong Wang, Biao Xu, Guangyong Sun, Shengxiang Yang:
A Two-Phase Differential Evolution for Uniform Designs in Constrained Experimental Domains. IEEE Trans. Evol. Comput. 21(5): 665-680 (2017) - [j60]Wenyin Gong, Yong Wang, Zhihua Cai, Shengxiang Yang:
A Weighted Biobjective Transformation Technique for Locating Multiple Optimal Solutions of Nonlinear Equation Systems. IEEE Trans. Evol. Comput. 21(5): 697-713 (2017) - [j59]Jayne Eaton, Shengxiang Yang, Mario Gongora:
Ant Colony Optimization for Simulated Dynamic Multi-Objective Railway Junction Rescheduling. IEEE Trans. Intell. Transp. Syst. 18(11): 2980-2992 (2017) - [c102]Conor Fahy, Shengxiang Yang, Mario Gongora:
Finding Multi-Density Clusters in non-stationary data streams using an Ant Colony with adaptive parameters. CEC 2017: 673-680 - [c101]Michalis Mavrovouniotis, Anastasia Ioannou, Shengxiang Yang:
Pre-scheduled Colony Size Variation in Dynamic Environments. EvoApplications (2) 2017: 128-139 - [c100]Muhanad Tahrir Younis, Shengxiang Yang, Benjamin N. Passow:
Meta-Heuristically Seeded Genetic Algorithm for Independent Job Scheduling in Grid Computing. EvoApplications (1) 2017: 177-189 - [c99]Darren M. Chitty, Shengxiang Yang, Mario Gongora:
Robustness and Evolutionary Dynamic Optimisation of Airport Security Schedules. MENDEL 2017: 27-39 - [c98]Darren M. Chitty, Shengxiang Yang, Mario Gongora:
Considering flexibility in the evolutionary dynamic optimisation of airport security lane schedules. SSCI 2017: 1-8 - [c97]Liuwei Fu, Juan Zou, Shengxiang Yang, Gan Ruan, Zhongwei Ma, Jinhua Zheng:
A proportion-based selection scheme for multi-objective optimization. SSCI 2017: 1-7 - [c96]Michalis Mavrovouniotis, Mien Van, Shengxiang Yang:
Pheromone modification strategy for the dynamic travelling salesman problem with weight changes. SSCI 2017: 1-8 - [i1]Zhi-Zhong Liu, Yong Wang, Shengxiang Yang, Ke Tang:
An Adaptive Framework to Tune the Coordinate Systems in Evolutionary Algorithms. CoRR abs/1703.06263 (2017) - 2016
- [j58]Yuan Zhang, Mao Peng, Shengxiang Yang:
A clique-based online algorithm for constructing optical orthogonal codes. Appl. Soft Comput. 47: 21-32 (2016) - [j57]Zhijian Li, Jinglei Guo, Shengxiang Yang:
Improving the JADE algorithm by clustering successful parameters. Int. J. Wirel. Mob. Comput. 11(3): 190-197 (2016) - [j56]Jayne Eaton, Shengxiang Yang, Michalis Mavrovouniotis:
Ant colony optimization with immigrants schemes for the dynamic railway junction rescheduling problem with multiple delays. Soft Comput. 20(8): 2951-2966 (2016) - [j55]Shouyong Jiang, Shengxiang Yang:
An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition for Complex Pareto Fronts. IEEE Trans. Cybern. 46(2): 421-437 (2016) - [j54]Changhe Li, Trung Thanh Nguyen, Ming Yang, Michalis Mavrovouniotis, Shengxiang Yang:
An Adaptive Multipopulation Framework for Locating and Tracking Multiple Optima. IEEE Trans. Evol. Comput. 20(4): 590-605 (2016) - [j53]Miqing Li, Shengxiang Yang, Xiaohui Liu:
Pareto or Non-Pareto: Bi-Criterion Evolution in Multiobjective Optimization. IEEE Trans. Evol. Comput. 20(5): 645-665 (2016) - [c95]Michalis Mavrovouniotis, Shengxiang Yang:
Empirical study on the effect of population size on MAX-MIN ant system in dynamic environments. CEC 2016: 853-860 - [c94]Jinglei Guo, Shengxiang Yang, Shouyong Jiang:
An adaptive penalty-based boundary intersection approach for multiobjective evolutionary algorithm based on decomposition. CEC 2016: 2145-2152 - [c93]Zhi-Zhong Liu, Yong Wang, Shengxiang Yang, Zixing Cai:
Differential evolution with a two-stage optimization mechanism for numerical optimization. CEC 2016: 3170-3177 - [c92]Jia-Peng Li, Yong Wang, Shengxiang Yang, Zixing Cai:
A comparative study of constraint-handling techniques in evolutionary constrained multiobjective optimization. CEC 2016: 4175-4182 - [c91]Michalis Mavrovouniotis, Shengxiang Yang:
Direct Memory Schemes for Population-Based Incremental Learning in Cyclically Changing Environments. EvoApplications (2) 2016: 233-247 - [c90]Renato Tinós, Shengxiang Yang:
Artificially Inducing Environmental Changes in Evolutionary Dynamic Optimization. PPSN 2016: 225-236 - [c89]Shouyong Jiang, Shengxiang Yang:
Convergence Versus Diversity in Multiobjective Optimization. PPSN 2016: 984-993 - [c88]Darren M. Chitty, Mario Gongora, Shengxiang Yang:
Evolutionary dynamic optimisation of airport security lane schedules. SSCI 2016: 1-8 - [c87]Jayne Eaton, Shengxiang Yang:
Railway platform reallocation after dynamic perturbations using ant colony optimisation. SSCI 2016: 1-8 - [c86]Shouyong Jiang, Shengxiang Yang, Miqing Li:
On the use of hypervolume for diversity measurement of Pareto front approximations. SSCI 2016: 1-8 - [c85]Conor Fahy, Shengxiang Yang:
Dynamic Stream Clustering Using Ants. UKCI 2016: 495-508 - 2015
- [j52]Miqing Li, Shengxiang Yang, Xiaohui Liu:
Bi-goal evolution for many-objective optimization problems. Artif. Intell. 228: 45-65 (2015) - [j51]Michalis Mavrovouniotis, Shengxiang Yang:
Ant algorithms with immigrants schemes for the dynamic vehicle routing problem. Inf. Sci. 294: 456-477 (2015) - [j50]Changhe Li, Trung Thanh Nguyen, Ming Yang, Shengxiang Yang, Sanyou Zeng:
Multi-population methods in unconstrained continuous dynamic environments: The challenges. Inf. Sci. 296: 95-118 (2015) - [j49]Michalis Mavrovouniotis, Shengxiang Yang:
Training neural networks with ant colony optimization algorithms for pattern classification. Soft Comput. 19(6): 1511-1522 (2015) - [j48]Wei Fang, Shengxiang Yang, Xin Yao:
A Survey on Problem Models and Solution Approaches to Rescheduling in Railway Networks. IEEE Trans. Intell. Transp. Syst. 16(6): 2997-3016 (2015) - [c84]Michalis Mavrovouniotis, Ferrante Neri, Shengxiang Yang:
An adaptive local search algorithm for real-valued dynamic optimization. CEC 2015: 1388-1395 - [c83]Michalis Mavrovouniotis, Shengxiang Yang:
Applying Ant Colony Optimization to Dynamic Binary-Encoded Problems. EvoApplications 2015: 845-856 - [c82]Michalis Mavrovouniotis, Felipe Martins Müller, Shengxiang Yang:
An Ant Colony Optimization Based Memetic Algorithm for the Dynamic Travelling Salesman Problem. GECCO 2015: 49-56 - [c81]Shengxiang Yang:
Evolutionary Computation for Dynamic Optimization Problems. GECCO (Companion) 2015: 629-649 - [c80]Miqing Li, Shengxiang Yang, Xiaohui Liu:
A Performance Comparison Indicator for Pareto Front Approximations in Many-Objective Optimization. GECCO 2015: 703-710 - [c79]Michalis Mavrovouniotis, Shengxiang Yang:
Population-Based Incremental Learning with Immigrants Schemes in Changing Environments. SSCI 2015: 1444-1451 - [c78]Jun Qi, Liming Chen, Wolfgang Leister, Shengxiang Yang:
Towards Knowledge Driven Decision Support for Personalized Home-Based Self-Management of Chronic Diseases. UIC/ATC/ScalCom 2015: 1724-1729 - 2014
- [j47]Miqing Li, Shengxiang Yang, Jinhua Zheng, Xiaohui Liu:
ETEA: A Euclidean Minimum Spanning Tree-Based Evolutionary Algorithm for Multi-Objective Optimization. Evol. Comput. 22(2): 189-230 (2014) - [j46]Changhe Li, Shengxiang Yang, Ming Yang:
An Adaptive Multi-Swarm Optimizer for Dynamic Optimization Problems. Evol. Comput. 22(4): 559-594 (2014) - [j45]Renato Tinós, Shengxiang Yang:
Analysis of fitness landscape modifications in evolutionary dynamic optimization. Inf. Sci. 282: 214-236 (2014) - [j44]Weijian Kong, Tianyou Chai, Jinliang Ding, Shengxiang Yang:
Multifurnace Optimization in Electric Smelting Plants by Load Scheduling and Control. IEEE Trans Autom. Sci. Eng. 11(3): 850-862 (2014) - [j43]Miqing Li, Shengxiang Yang, Ke Li, Xiaohui Liu:
Evolutionary Algorithms With Segment-Based Search for Multiobjective Optimization Problems. IEEE Trans. Cybern. 44(8): 1295-1313 (2014) - [j42]Miqing Li, Shengxiang Yang, Xiaohui Liu:
Diversity Comparison of Pareto Front Approximations in Many-Objective Optimization. IEEE Trans. Cybern. 44(12): 2568-2584 (2014) - [j41]Miqing Li, Shengxiang Yang, Xiaohui Liu:
Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization. IEEE Trans. Evol. Comput. 18(3): 348-365 (2014) - [c77]Shouyong Jiang, Shengxiang Yang:
An improved quantum-behaved particle swarm optimization algorithm based on linear interpolation. IEEE Congress on Evolutionary Computation 2014: 769-775 - [c76]Michalis Mavrovouniotis, Shengxiang Yang:
Interactive and non-interactive hybrid immigrants schemes for ant algorithms in dynamic environments. IEEE Congress on Evolutionary Computation 2014: 1542-1549 - [c75]Michalis Mavrovouniotis, Shengxiang Yang:
Elitism-based immigrants for ant colony optimization in dynamic environments: Adapting the replacement rate. IEEE Congress on Evolutionary Computation 2014: 1752-1759 - [c74]Miqing Li, Shengxiang Yang, Xiaohui Liu:
A test problem for visual investigation of high-dimensional multi-objective search. IEEE Congress on Evolutionary Computation 2014: 2140-2147 - [c73]Michalis Mavrovouniotis, Shengxiang Yang, Xin Yao:
Multi-colony ant algorithms for the dynamic travelling salesman problem. CIDUE 2014: 9-16 - [c72]Shouyong Jiang, Shengxiang Yang:
A framework of scalable dynamic test problems for dynamic multi-objective optimization. CIDUE 2014: 32-39 - [c71]Michalis Mavrovouniotis, Shengxiang Yang:
Ant colony optimization with self-adaptive evaporation rate in dynamic environments. CIDUE 2014: 47-54 - [c70]Jayne Eaton, Shengxiang Yang:
Dynamic railway junction rescheduling using population based ant colony optimisation. UKCI 2014: 1-8 - [c69]Shouyong Jiang, Shengxiang Yang:
A benchmark generator for dynamic multi-objective optimization problems. UKCI 2014: 1-8 - 2013
- [j40]Weijian Kong, Tianyou Chai, Shengxiang Yang, Jinliang Ding:
A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing. Appl. Soft Comput. 13(5): 2960-2969 (2013) - [j39]Michalis Mavrovouniotis, Shengxiang Yang:
Ant colony optimization with immigrants schemes for the dynamic travelling salesman problem with traffic factors. Appl. Soft Comput. 13(10): 4023-4037 (2013) - [j38]Hui Cheng, Shengxiang Yang, Jiannong Cao:
Dynamic genetic algorithms for the dynamic load balanced clustering problem in mobile ad hoc networks. Expert Syst. Appl. 40(4): 1381-1392 (2013) - [j37]Yan Cui, Min Huang, Shengxiang Yang, Loo Hay Lee, Xingwei Wang:
Fourth party logistics routing problem model with fuzzy duration time and cost discount. Knowl. Based Syst. 50: 14-24 (2013) - [j36]Shengxiang Yang, Miqing Li, Xiaohui Liu, Jinhua Zheng:
A Grid-Based Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. 17(5): 721-736 (2013) - [c68]Michalis Mavrovouniotis, Shengxiang Yang:
Genetic algorithms with adaptive immigrants for dynamic environments. IEEE Congress on Evolutionary Computation 2013: 2130-2137 - [c67]Weijian Kong, Jinliang Ding, Tianyou Chai, Xiuping Zheng, Shengxiang Yang:
A multiobjective particle swarm optimization algorithm for load scheduling in electric smelting furnaces. CIES 2013: 188-195 - [c66]Miqing Li, Shengxiang Yang, Xiaohui Liu, Kang Wang:
IPESA-II: Improved Pareto Envelope-Based Selection Algorithm II. EMO 2013: 143-155 - [c65]Miqing Li, Shengxiang Yang, Xiaohui Liu, Ruimin Shen:
A Comparative Study on Evolutionary Algorithms for Many-Objective Optimization. EMO 2013: 261-275 - [c64]Michalis Mavrovouniotis, Shengxiang Yang:
Adapting the Pheromone Evaporation Rate in Dynamic Routing Problems. EvoApplications 2013: 606-615 - [c63]Shengxiang Yang:
Evolutionary computation for dynamic optimization problems. GECCO (Companion) 2013: 667-682 - [c62]Michalis Mavrovouniotis, Shengxiang Yang:
Evolving neural networks using ant colony optimization with pheromone trail limits. UKCI 2013: 16-23 - [p4]Hendrik Richter, Shengxiang Yang:
Dynamic Optimization Using Analytic and Evolutionary Approaches: A Comparative Review. Handbook of Optimization 2013: 1-28 - [p3]Michalis Mavrovouniotis, Shengxiang Yang:
Dynamic Vehicle Routing: A Memetic Ant Colony Optimization Approach. Automated Scheduling and Planning 2013: 283-301 - 2012
- [j35]Hui Cheng, Shengxiang Yang, Xingwei Wang:
Immigrants-Enhanced Multi-Population Genetic Algorithms for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks. Appl. Artif. Intell. 26(7): 673-695 (2012) - [j34]Hongfeng Wang, Shengxiang Yang, W. H. Ip, Dingwei Wang:
A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems. Int. J. Syst. Sci. 43(7): 1268-1283 (2012) - [j33]Lili Liu, Shengxiang Yang, Dingwei Wang:
Force-imitated particle swarm optimization using the near-neighbor effect for locating multiple optima. Inf. Sci. 182(1): 139-155 (2012) - [j32]Hongfeng Wang, Ilkyeong Moon, Shengxiang Yang, Dingwei Wang:
A memetic particle swarm optimization algorithm for multimodal optimization problems. Inf. Sci. 197: 38-52 (2012) - [j31]Trung Thanh Nguyen, Shengxiang Yang, Jürgen Branke:
Evolutionary dynamic optimization: A survey of the state of the art. Swarm Evol. Comput. 6: 1-24 (2012) - [j30]Changhe Li, Shengxiang Yang:
A General Framework of Multipopulation Methods With Clustering in Undetectable Dynamic Environments. IEEE Trans. Evol. Comput. 16(4): 556-577 (2012) - [j29]Changhe Li, Shengxiang Yang, Trung Thanh Nguyen:
A Self-Learning Particle Swarm Optimizer for Global Optimization Problems. IEEE Trans. Syst. Man Cybern. Part B 42(3): 627-646 (2012) - [c61]Yefeng Liu, Tianyou Chai, Si-Zhao Joe Qin, Quan-Ke Pan, Shengxiang Yang:
Improved genetic algorithm for magnetic material two-stage multi-product production scheduling: A case study. CDC 2012: 2521-2526 - [c60]Changhe Li, Shengxiang Yang, Ming Yang:
Maintaining diversity by clustering in dynamic environments. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c59]Michalis Mavrovouniotis, Shengxiang Yang:
Ant colony optimization with memory-based immigrants for the dynamic vehicle routing problem. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c58]Michalis Mavrovouniotis, Shengxiang Yang:
Ant Colony Optimization with Immigrants Schemes for the Dynamic Vehicle Routing Problem. EvoApplications 2012: 519-528 - [c57]Michalis Mavrovouniotis, Shengxiang Yang, Xin Yao:
A Benchmark Generator for Dynamic Permutation-Encoded Problems. PPSN (2) 2012: 508-517 - [c56]Zujian Wu, Shengxiang Yang, David R. Gilbert:
A Hybrid Approach to Piecewise Modelling of Biochemical Systems. PPSN (1) 2012: 519-528 - [c55]Hui Cheng, Shengxiang Yang:
Hyper-mutation Based Genetic Algorithms for Dynamic Multicast Routing Problem in Mobile Ad Hoc Networks. TrustCom 2012: 1586-1592 - 2011
- [j28]Hui Cheng, Shengxiang Yang:
Joint QoS multicast routing and channel assignment in multiradio multichannel wireless mesh networks using intelligent computational methods. Appl. Soft Comput. 11(2): 1953-1964 (2011) - [j27]Renato Tinós, Shengxiang Yang:
Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems. Int. J. Hybrid Intell. Syst. 8(3): 155-168 (2011) - [j26]Sadaf Naseem Jat, Shengxiang Yang:
A hybrid genetic algorithm and tabu search approach for post enrolment course timetabling. J. Sched. 14(6): 617-637 (2011) - [j25]Xingguang Peng, Xiaoguang Gao, Shengxiang Yang:
Environment identification-based memory scheme for estimation of distribution algorithms in dynamic environments. Soft Comput. 15(2): 311-326 (2011) - [j24]Michalis Mavrovouniotis, Shengxiang Yang:
A memetic ant colony optimization algorithm for the dynamic travelling salesman problem. Soft Comput. 15(7): 1405-1425 (2011) - [j23]Renato Tinós, Shengxiang Yang:
Use of the q-Gaussian mutation in evolutionary algorithms. Soft Comput. 15(8): 1523-1549 (2011) - [j22]Shengxiang Yang, Sadaf Naseem Jat:
Genetic Algorithms With Guided and Local Search Strategies for University Course Timetabling. IEEE Trans. Syst. Man Cybern. Part C 41(1): 93-106 (2011) - [c54]Michalis Mavrovouniotis, Shengxiang Yang:
An Immigrants Scheme Based on Environmental Information for Ant Colony Optimization for the Dynamic Travelling Salesman Problem. Artificial Evolution 2011: 1-12 - [c53]Hui Cheng, Shengxiang Yang:
Genetic algorithms with elitism-based immigrants for dynamic load balanced clustering problem in mobile ad hoc networks. CIDUE 2011: 1-7 - [c52]Sadaf Naseem Jat, Shengxiang Yang:
A Guided Search Non-dominated Sorting Genetic Algorithm for the Multi-Objective University Course Timetabling Problem. EvoCOP 2011: 1-13 - [c51]Michalis Mavrovouniotis, Shengxiang Yang:
Memory-Based Immigrants for Ant Colony Optimization in Changing Environments. EvoApplications (1) 2011: 324-333 - [c50]Andreea Vescan, Crina Grosan, Shengxiang Yang:
A hybrid evolutionary multiobjective approach for the dynamic component selection problem. HIS 2011: 714-721 - 2010
- [j21]Hui Cheng, Shengxiang Yang:
Genetic algorithms with immigrants schemes for dynamic multicast problems in mobile ad hoc networks. Eng. Appl. Artif. Intell. 23(5): 806-819 (2010) - [j20]Hui Cheng, Xingwei Wang, Shengxiang Yang, Min Huang, Jiannong Cao:
QoS multicast tree construction in IP/DWDM optical internet by bio-inspired algorithms. J. Netw. Comput. Appl. 33(4): 512-522 (2010) - [j19]Ferrante Neri, Shengxiang Yang:
Guest editorial: Memetic Computing in the presence of uncertainties. Memetic Comput. 2(2): 85-86 (2010) - [j18]Hongfeng Wang, Shengxiang Yang, W. H. Ip, Dingwei Wang:
A particle swarm optimization based memetic algorithm for dynamic optimization problems. Nat. Comput. 9(3): 703-725 (2010) - [j17]Shengxiang Yang, Dingwei Wang, Tianyou Chai, Graham Kendall:
An improved constraint satisfaction adaptive neural network for job-shop scheduling. J. Sched. 13(1): 17-38 (2010) - [j16]Shengxiang Yang, Changhe Li:
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments. IEEE Trans. Evol. Comput. 14(6): 959-974 (2010) - [j15]Shengxiang Yang, Hui Cheng, Fang Wang:
Genetic Algorithms With Immigrants and Memory Schemes for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks. IEEE Trans. Syst. Man Cybern. Part C 40(1): 52-63 (2010) - [j14]Lili Liu, Shengxiang Yang, Dingwei Wang:
Particle Swarm Optimization With Composite Particles in Dynamic Environments. IEEE Trans. Syst. Man Cybern. Part B 40(6): 1634-1648 (2010) - [c49]Shakeel Arshad, Shengxiang Yang:
A hybrid genetic algorithm and inver over approach for the travelling salesman problem. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c48]Changhe Li, Shengxiang Yang:
Adaptive learning particle swarm optimizer-II for global optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c47]Imtiaz Ali Korejo, Shengxiang Yang, Changhe Li:
A Directed Mutation Operator for Real Coded Genetic Algorithms. EvoApplications (1) 2010: 491-500 - [c46]Hui Cheng, Shengxiang Yang:
Multi-population Genetic Algorithms with Immigrants Scheme for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks. EvoApplications (1) 2010: 562-571 - [c45]Renato Tinós, Shengxiang Yang:
An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System. PPSN (1) 2010: 274-283 - [c44]Michalis Mavrovouniotis, Shengxiang Yang:
Ant Colony Optimization with Immigrants Schemes in Dynamic Environments. PPSN (2) 2010: 371-380 - [c43]Renato Tinós, Shengxiang Yang:
Evolution Strategies with q-Gaussian Mutation for Dynamic Optimization Problems. SBRN 2010: 223-228
2000 – 2009
- 2009
- [j13]Hui Cheng, Xingwei Wang, Shengxiang Yang, Min Huang:
A multipopulation parallel genetic simulated annealing-based QoS routing and wavelength assignment integration algorithm for multicast in optical networks. Appl. Soft Comput. 9(2): 677-684 (2009) - [j12]Hongfeng Wang, Dingwei Wang, Shengxiang Yang:
A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems. Soft Comput. 13(8-9): 763-780 (2009) - [j11]Hendrik Richter, Shengxiang Yang:
Learning behavior in abstract memory schemes for dynamic optimization problems. Soft Comput. 13(12): 1163-1173 (2009) - [j10]Hongfeng Wang, Shengxiang Yang, W. H. Ip, Dingwei Wang:
Adaptive Primal-Dual Genetic Algorithms in Dynamic Environments. IEEE Trans. Syst. Man Cybern. Part B 39(6): 1348-1361 (2009) - [j9]Hui Cheng, Jiannong Cao, Xingwei Wang, Sajal K. Das, Shengxiang Yang:
Stability-aware multi-metric clustering in mobile ad hoc networks with group mobility. Wirel. Commun. Mob. Comput. 9(6): 759-771 (2009) - [c42]Changhe Li, Shengxiang Yang:
An adaptive learning particle swarm optimizer for function optimization. IEEE Congress on Evolutionary Computation 2009: 381-388 - [c41]Changhe Li, Shengxiang Yang:
A clustering particle swarm optimizer for dynamic optimization. IEEE Congress on Evolutionary Computation 2009: 439-446 - [c40]Shengxiang Yang, Hendrik Richter:
Hyper-learning for population-based incremental learning in dynamic environments. IEEE Congress on Evolutionary Computation 2009: 682-689 - [c39]Hui Cheng, Shengxiang Yang:
Genetic algorithms with elitism-based immigrants for dynamic shortest path problem in mobile ad hoc networks. IEEE Congress on Evolutionary Computation 2009: 3135-3140 - [c38]Lili Liu, Dingwei Wang, Shengxiang Yang:
An Immune System Based Genetic Algorithm Using Permutation-Based Dualism for Dynamic Traveling Salesman Problems. EvoWorkshops 2009: 725-734 - [c37]Hui Cheng, Shengxiang Yang:
Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Tabu Search. ICNC (4) 2009: 325-330 - [e4]Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni A. Di Caro, Anikó Ekárt, Anna Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Penousal Machado, Jon McCormack, Michael O'Neill, Ferrante Neri, Mike Preuss, Franz Rothlauf, Ernesto Tarantino, Shengxiang Yang:
Applications of Evolutionary Computing, EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG, Tübingen, Germany, April 15-17, 2009. Proceedings. Lecture Notes in Computer Science 5484, Springer 2009, ISBN 978-3-642-01128-3 [contents] - 2008
- [j8]Shengxiang Yang:
Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments. Evol. Comput. 16(3): 385-416 (2008) - [j7]Shengxiang Yang, Xin Yao:
Population-Based Incremental Learning With Associative Memory for Dynamic Environments. IEEE Trans. Evol. Comput. 12(5): 542-561 (2008) - [c36]Renato Tinós, Shengxiang Yang:
Evolutionary programming with q-Gaussian mutation for dynamic optimization problems. IEEE Congress on Evolutionary Computation 2008: 1823-1830 - [c35]Yang Yan, Hongfeng Wang, Dingwei Wang, Shengxiang Yang, Dazhi Wang:
A multi-agent based evolutionary algorithm in non-stationary environments. IEEE Congress on Evolutionary Computation 2008: 2967-2974 - [c34]Shengxiang Yang, Renato Tinós:
Hyper-selection in dynamic environments. IEEE Congress on Evolutionary Computation 2008: 3185-3192 - [c33]Hendrik Richter, Shengxiang Yang:
Memory Based on Abstraction for Dynamic Fitness Functions. EvoWorkshops 2008: 596-605 - [c32]Lili Liu, Dingwei Wang, Shengxiang Yang:
Compound Particle Swarm Optimization in Dynamic Environments. EvoWorkshops 2008: 616-625 - [c31]Hendrik Richter, Shengxiang Yang:
Learning in Abstract Memory Schemes for Dynamic Optimization. ICNC (1) 2008: 86-91 - [c30]Changhe Li, Shengxiang Yang:
Fast Multi-Swarm Optimization for Dynamic Optimization Problems. ICNC (7) 2008: 624-628 - [c29]Sadaf Naseem Jat, Shengxiang Yang:
A Memetic Algorithm for the University Course Timetabling Problem. ICTAI (1) 2008: 427-433 - [c28]Hui Cheng, Xingwei Wang, Min Huang, Shengxiang Yang:
A Review of Personal Communications Services. ICYCS 2008: 616-621 - [c27]Chunlin Ji, Yangyang Zhang, Mengmeng Tong, Shengxiang Yang:
Particle Filter with Swarm Move for Optimization. PPSN 2008: 909-918 - [c26]Changhe Li, Shengxiang Yang:
An Island Based Hybrid Evolutionary Algorithm for Optimization. SEAL 2008: 180-189 - [c25]Hui Cheng, Shengxiang Yang:
Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Simulated Annealing. SEAL 2008: 370-380 - [c24]Changhe Li, Shengxiang Yang:
A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization. SEAL 2008: 391-400 - [e3]Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni Di Caro, Rolf Drechsler, Anikó Ekárt, Anna Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Jon McCormack, Michael O'Neill, Juan Romero, Franz Rothlauf, Giovanni Squillero, Sima Uyar, Shengxiang Yang:
Applications of Evolutionary Computing, EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Naples, Italy, March 26-28, 2008. Proceedings. Lecture Notes in Computer Science 4974, Springer 2008, ISBN 978-3-540-78760-0 [contents] - 2007
- [j6]Renato Tinós, Shengxiang Yang:
A self-organizing random immigrants genetic algorithm for dynamic optimization problems. Genet. Program. Evolvable Mach. 8(3): 255-286 (2007) - [j5]Shengxiang Yang, Renato Tinós:
A hybrid immigrants scheme for genetic algorithms in dynamic environments. Int. J. Autom. Comput. 4(3): 243-254 (2007) - [c23]Renato Tinós, Shengxiang Yang:
Self-adaptation of mutation distribution in evolutionary algorithms. IEEE Congress on Evolutionary Computation 2007: 79-86 - [c22]Renato Tinós, Shengxiang Yang:
Continuous dynamic problem generators for evolutionary algorithms. IEEE Congress on Evolutionary Computation 2007: 236-243 - [c21]Shengxiang Yang:
Genetic Algorithms with Elitism-Based Immigrants for Changing Optimization Problems. EvoWorkshops 2007: 627-636 - [c20]Hongfeng Wang, Dingwei Wang, Shengxiang Yang:
Triggered Memory-Based Swarm Optimization in Dynamic Environments. EvoWorkshops 2007: 637-646 - [p2]Shengxiang Yang:
Explicit Memory Schemes for Evolutionary Algorithms in Dynamic Environments. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 3-28 - [p1]Renato Tinós, Shengxiang Yang:
Genetic Algorithms with Self-Organizing Behaviour in Dynamic Environments. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 105-127 - [e2]Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni Di Caro, Rolf Drechsler, Muddassar Farooq, Andreas Fink, Evelyne Lutton, Penousal Machado, Stefan Minner, Michael O'Neill, Juan Romero, Franz Rothlauf, Giovanni Squillero, Hideyuki Takagi, Sima Uyar, Shengxiang Yang:
Applications of Evolutinary Computing, EvoWorkshops 2007: EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog, Valencia, Spain, April11-13, 2007, Proceedings. Lecture Notes in Computer Science 4448, Springer 2007, ISBN 978-3-540-71804-8 [contents] - [e1]Shengxiang Yang, Yew-Soon Ong, Yaochu Jin:
Evolutionary Computation in Dynamic and Uncertain Environments. Studies in Computational Intelligence 51, Springer 2007, ISBN 978-3-540-49772-1 [contents] - 2006
- [j4]Shengxiang Yang, Yew-Soon Ong, Yaochu Jin:
Editorial to special issue on evolutionary computation in dynamic and uncertain environments. Genet. Program. Evolvable Mach. 7(4): 293-294 (2006) - [c19]Shengxiang Yang:
On the Design of Diploid Genetic Algorithms for Problem Optimization in Dynamic Environments. IEEE Congress on Evolutionary Computation 2006: 1362-1369 - [c18]Shengxiang Yang:
Associative Memory Scheme for Genetic Algorithms in Dynamic Environments. EvoWorkshops 2006: 788-799 - [c17]Shengxiang Yang:
A comparative study of immune system based genetic algorithms in dynamic environments. GECCO 2006: 1377-1384 - [c16]Shengxiang Yang:
Dominance learning in diploid genetic algorithms for dynamic optimization problems. GECCO 2006: 1435-1436 - [c15]Shengxiang Yang:
Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach. IJCNN 2006: 2720-2727 - [c14]Shengxiang Yang, Sima Uyar:
Adaptive mutation with fitness and allele distribution correlation for genetic algorithms. SAC 2006: 940-944 - 2005
- [j3]Shengxiang Yang, Xin Yao:
Experimental study on population-based incremental learning algorithms for dynamic optimization problems. Soft Comput. 9(11): 815-834 (2005) - [c13]Shengxiang Yang:
Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems. Congress on Evolutionary Computation 2005: 2560-2567 - [c12]Renato Tinós, Shengxiang Yang:
Genetic algorithms with self-organized criticality for dynamic optimization problems. Congress on Evolutionary Computation 2005: 2816-2823 - [c11]Shengxiang Yang, Jürgen Branke:
Evolutionary algorithms for dynamic optimization problems: workshop preface. GECCO Workshops 2005: 23-24 - [c10]Shengxiang Yang:
Population-based incremental learning with memory scheme for changing environments. GECCO 2005: 711-718 - [c9]Shengxiang Yang:
Memory-based immigrants for genetic algorithms in dynamic environments. GECCO 2005: 1115-1122 - [c8]Shengxiang Yang:
An Improved Adaptive Neural Network for Job-Shop Scheduling. SMC 2005: 1200-1205 - 2004
- [c7]Shengxiang Yang:
Constructing dynamic test environments for genetic algorithms based on problem difficulty. IEEE Congress on Evolutionary Computation 2004: 1262-1269 - 2003
- [c6]Shengxiang Yang:
Non-stationary problem optimization using the primal-dual genetic algorithm. IEEE Congress on Evolutionary Computation 2003: 2246-2253 - [c5]Shengxiang Yang:
Statistics-Based Adaptive Non-uniform Mutation for Genetic Algorithms. GECCO 2003: 1618-1619 - [c4]Shengxiang Yang:
PDGA: the Primal-Dual Genetic Algorithm. HIS 2003: 214-223 - [c3]Shengxiang Yang:
Adaptive Mutation Using Statistics Mechanism for Genetic Algorithms. SGAI Conf. 2003: 19-32 - 2002
- [c2]Shengxiang Yang:
Adaptive Non-Uniform Mutation Based on Statistics for Genetic Algorithms. GECCO Late Breaking Papers 2002: 490-495 - [c1]Shengxiang Yang:
Adaptive Non-uniform Crossover Based On Statistics For Genetic Algorithms. GECCO 2002: 650-657 - 2001
- [j2]Shengxiang Yang, Dingwei Wang:
A new adaptive neural network and heuristics hybrid approach for job-shop scheduling. Comput. Oper. Res. 28(10): 955-971 (2001) - 2000
- [j1]Shengxiang Yang, Dingwei Wang:
Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling. IEEE Trans. Neural Networks Learn. Syst. 11(2): 474-486 (2000)
Coauthor Index
Jinhua Zheng
aka: Jin-Hua Zheng
aka: Jin-Hua Zheng
[j222] [j215] [j213] [j209] [j208] [j207] [j206] [j205] [j202] [j200] [j199] [j195] [c137] [c136] [j190] [j186] [j184] [j183] [j182] [j181] [j178] [j177] [j174] [j173] [j171] [j167] [j165] [j163] [c129] [j155] [j150] [j149] [j147] [j146] [j145] [j144] [j142] [c125] [j126] [j125] [j124] [j123] [j122] [j121] [j118] [j117] [j116] [j115] [j113] [j111] [j105] [j104] [j103] [j95] [j93] [j90] [j89] [j86] [j85] [j78] [j77] [c104] [c103] [j70] [j69] [c97] [j47] [j36]
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