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2020 – today
- 2024
[j109]Yong Wang, Qian Zhang, Gai-Ge Wang, Honglei Cheng:
The application of evolutionary computation in generative adversarial networks (GANs): a systematic literature survey. Artif. Intell. Rev. 57(7): 182 (2024)- [j108]Honglei Cheng
, Gai-Ge Wang, Liyan Chen, Rui Wang:
A dual-population multi-objective evolutionary algorithm driven by generative adversarial networks for benchmarking and protein-peptide docking. Comput. Biol. Medicine 168: 107727 (2024) - [j107]Juan Li, Pan Jiang, Qing An, Gai-Ge Wang, Hua-Feng Kong:
Medical image identification methods: A review. Comput. Biol. Medicine 169: 107777 (2024) - [j106]Xin Liu, Jie Tian, Peiyong Duan, Qian Yu, Gaige Wang, Yingjie Wang:
GrMoNAS: A granularity-based multi-objective NAS framework for efficient medical diagnosis. Comput. Biol. Medicine 171: 108118 (2024) - [j105]Xiaoxu Cai, Gaige Wang, Jianwen Lou, Muwei Jian, Junyu Dong, Rung-Ching Chen, Brett Stevens, Hui Yu:
Perceptual loss guided Generative adversarial network for saliency detection. Inf. Sci. 654: 119625 (2024) - [j104]Huishan Qu, Gai-Ge Wang, Yun Li, Xin Qi, Mengjie Zhang:
ConvFishNet: An efficient backbone for fish classification from composited underwater images. Inf. Sci. 679: 121078 (2024) - [j103]De-Xuan Zou, Gai-Ge Wang, Arun Kumar Sangaiah, Xiangyong Kong:
A memory-based simulated annealing algorithm and a new auxiliary function for the fixed-outline floorplanning with soft blocks. J. Ambient Intell. Humaniz. Comput. 15(2): 1613-1624 (2024) - [j102]Yong Wang, Kuichao Li, Gai-Ge Wang, Dunwei Gong, Witold Pedrycz:
A fuzzy-guided adaptive algorithm with hierarchy mechanism for solving dynamic multi-objective optimization problems. Knowl. Based Syst. 284: 111227 (2024) - [j101]Miao Zhang, Muwei Jian, Gaige Wang:
YOLO-AA: an efficient object detection model via strengthening fusion context information. Multim. Tools Appl. 83(4): 10661-10676 (2024) - [j100]Xiaoqi Zhao, Haipeng Qu, Jianliang Xu, Xiaohui Li, Wenjie Lv, Gai-Ge Wang:
A systematic review of fuzzing. Soft Comput. 28(6): 5493-5522 (2024) - [j99]Chunyang Wang, Xian Zhang, Wei Yang, Gaige Wang, Xingwang Li, Jianlong Wang, Bibo Lu:
MSWAGAN: Multispectral Remote Sensing Image Super-Resolution Based on Multiscale Window Attention Transformer. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j98]Yong Wang, Wenzhong Cui, Gai-Ge Wang, Jian Wang, Dunwei Gong:
Improving Test Data Generation for MPI Program Path Coverage With FERPSO-IMPR and Surrogate-Assisted Models. IEEE Trans. Software Eng. 50(3): 495-511 (2024) - 2023
- [j97]Yong Wang, Qian Zhang, Gai-Ge Wang:
Improving evolutionary algorithms with information feedback model for large-scale many-objective optimization. Appl. Intell. 53(10): 11439-11473 (2023) - [j96]Muwei Jian, Hongyu Chen, Chen Tao, Xiaoguang Li, Gaige Wang:
Triple-DRNet: A triple-cascade convolution neural network for diabetic retinopathy grading using fundus images. Comput. Biol. Medicine 155: 106631 (2023) - [j95]Yunchou Yin, Zhimeng Han, Muwei Jian, Gai-Ge Wang, Liyan Chen, Rui Wang:
AMSUnet: A neural network using atrous multi-scale convolution for medical image segmentation. Comput. Biol. Medicine 162: 107120 (2023) - [j94]Yi-Jian Wang, Gai-Ge Wang, Fang-Ming Tian, Dun-Wei Gong, Witold Pedrycz:
Solving energy-efficient fuzzy hybrid flow-shop scheduling problem at a variable machine speed using an extended NSGA-II. Eng. Appl. Artif. Intell. 121: 105977 (2023) - [j93]Yong Wang, Zhihao Wang, Gai-Ge Wang:
Hierarchical learning particle swarm optimization using fuzzy logic. Expert Syst. Appl. 232: 120759 (2023) - [j92]Gai-Ge Wang, Honglei Cheng, Yiming Zhang, Hui Yu:
ENSO analysis and prediction using deep learning: A review. Neurocomputing 520: 216-229 (2023) - [j91]Yong Wang, Yiming Zhang, Gai-Ge Wang:
Forecasting ENSO using convolutional LSTM network with improved attention mechanism and models recombined by genetic algorithm in CMIP5/6. Inf. Sci. 642: 119106 (2023) - [j90]Wei Li, Gai-Ge Wang:
Improved elephant herding optimization using opposition-based learning and K-means clustering to solve numerical optimization problems. J. Ambient Intell. Humaniz. Comput. 14(3): 1753-1784 (2023) - [j89]Yong Wang, Xiaobin Qiao, Gai-Ge Wang:
Architecture evolution of convolutional neural network using monarch butterfly optimization. J. Ambient Intell. Humaniz. Comput. 14(9): 12257-12271 (2023) - [j88]Yi-Jian Wang, Juan Li, Gai-Ge Wang:
Fuzzy correlation entropy-based NSGA-II for energy-efficient hybrid flow-shop scheduling problem. Knowl. Based Syst. 277: 110808 (2023) - [j87]Chunyang Wang, Xian Zhang, Wei Yang, Gaige Wang, Zongze Zhao, Xuan Liu, Bibo Lu:
Landsat-8 to Sentinel-2 Satellite Imagery Super-Resolution-Based Multiscale Dilated Transformer Generative Adversarial Networks. Remote. Sens. 15(22): 5272 (2023) - [j86]Yong Wang, Zhen Liu, Gai-Ge Wang:
Improved differential evolution using two-stage mutation strategy for multimodal multi-objective optimization. Swarm Evol. Comput. 78: 101232 (2023) - [j85]Lianbo Ma, Yang Liu, Guo Yu, Xinzhe Wang, Hongwei Mo, Gai-Ge Wang, Yaochu Jin, Ying Tan:
Decomposition-Based Multiobjective Optimization for Variable-Length Mixed-Variable Pareto Optimization and Its Application in Cloud Service Allocation. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 7138-7151 (2023) - [c12]Changlin Li, Jian He, Gaige Wang, Kuilong Liu, Changyuan Yang:
Position-Aware Tooth Segmentation and Numbering with Prior Knowledge Injected. HCI (14) 2023: 457-475 - 2022
- [j84]Gai-Ge Wang, Xiao Zhi Gao, Yan Pei:
Call for Special Issue Papers: Deep Learning Assisted Big Data Analytics for Biomedical Applications and Digital Healthcare: Deadline for Manuscript Submission: August 20, 2022. Big Data 10(1): 85-86 (2022) - [j83]Juan Li, Dandan Xiao, Ting Zhang, Chun Liu, Yuan-Xiang Li, Gaige Wang:
Corrigendum to: Multi-Swarm Cuckoo Search Algorithm with Q-Learning Model. Comput. J. 65(7): 1938 (2022) - [j82]Xiaoqi Zhao, Haipeng Qu, Jianliang Xu, Shuo Li, Gai-Ge Wang:
AMSFuzz: An adaptive mutation schedule for fuzzing. Expert Syst. Appl. 208: 118162 (2022) - [j81]Xiaoyan Liu, Gai-Ge Wang, Ling Wang:
LSFQPSO: quantum particle swarm optimization with optimal guided Lévy flight and straight flight for solving optimization problems. Eng. Comput. 38(5): 4651-4682 (2022) - [j80]Yanhong Feng, Gai-Ge Wang:
A binary moth search algorithm based on self-learning for multidimensional knapsack problems. Future Gener. Comput. Syst. 126: 48-64 (2022) - [j79]Mei Li, Gai-Ge Wang:
A review of green shop scheduling problem. Inf. Sci. 589: 478-496 (2022) - [j78]Gui Li, Gai-Ge Wang, Ren-Bin Xiao:
A novel adaptive weight algorithm based on decomposition and two-part update strategy for many-objective optimization. Inf. Sci. 615: 323-347 (2022) - [j77]Sukhwinder Singh Dhillon, J. S. Lather, Gai-Ge Wang, P. Kaur, Lalitesh Kumar:
Monarch butterfly optimized control with robustness analysis for grid tied centralized and distributed power generations. J. Ambient Intell. Humaniz. Comput. 13(7): 3595-3608 (2022) - [j76]Yong Wang, Qian Zhang, Gai-Ge Wang, Zhongyi Hu:
An enhancing many-objective evolutionary algorithm using chaotic mapping and solution ranking mechanism for large-scale optimization. J. Comput. Des. Eng. 9(5): 1974-1994 (2022) - [j75]Zhenkun Fan, Guosheng Hu, Xin Sun, Gaige Wang, Junyu Dong, Chi Su:
Self-attention neural architecture search for semantic image segmentation. Knowl. Based Syst. 239: 107968 (2022) - [j74]Zhimeng Han, Muwei Jian, Gai-Ge Wang:
ConvUNeXt: An efficient convolution neural network for medical image segmentation. Knowl. Based Syst. 253: 109512 (2022) - [j73]Haoran Zhao, Xin Sun, Junyu Dong, Hui Yu, Gaige Wang:
Multi-instance semantic similarity transferring for knowledge distillation. Knowl. Based Syst. 256: 109832 (2022) - [j72]Wei-Chang Yeh, Wenbo Zhu, Shi-Yi Tan, Gai-Ge Wang, Yuan-Hui Yeh:
Novel general active reliability redundancy allocation problems and algorithm. Reliab. Eng. Syst. Saf. 218(Part): 108167 (2022) - [j71]Gai-Ge Wang, Da Gao, Witold Pedrycz:
Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm. IEEE Trans. Ind. Informatics 18(12): 8519-8528 (2022) - [j70]Jiechao Gao, Tu N. Nguyen, Gunasekaran Manogaran, Ankit Chaudhary, Gai-Ge Wang:
Redemptive Resource Sharing and Allocation Scheme for Internet of Things-Assisted Smart Healthcare Systems. IEEE J. Biomed. Health Informatics 26(8): 4238-4247 (2022) - 2021
- [j69]Qinglei Zhai, Yichao He, Gaige Wang, Xiang Hao:
A general approach to solving hardware and software partitioning problem based on evolutionary algorithms. Adv. Eng. Softw. 159: 102998 (2021) - [j68]Gai-Ge Wang, Xiaozhi Gao, Yan Pei:
Call for Special Issue Papers: Deep Learning Assisted Big Data Analytics for Biomedical Applications and Digital Healthcare: Deadline for Manuscript Submission: August 20, 2022. Big Data 9(6): 415-416 (2021) - [j67]Juan Li, Dandan Xiao, Ting Zhang, Chun Liu, Yuan-Xiang Li, Gai-Ge Wang:
Multi-Swarm Cuckoo Search Algorithm with Q-Learning Model. Comput. J. 64(1): 108-131 (2021) - [j66]Yanhong Feng, Suash Deb, Gai-Ge Wang, Amir Hossein Alavi:
Monarch butterfly optimization: A comprehensive review. Expert Syst. Appl. 168: 114418 (2021) - [j65]Juan Li, Yuan-Hua Yang, Hong Lei, Gai-Ge Wang:
Solving Logistics Distribution Center Location with Improved Cuckoo Search Algorithm. Int. J. Comput. Intell. Syst. 14(1): 676-692 (2021) - [j64]Gui Li, Gai-Ge Wang, Junyu Dong, Wei-Chang Yeh, Keqin Li:
DLEA: A dynamic learning evolution algorithm for many-objective optimization. Inf. Sci. 574: 567-589 (2021) - [j63]Muwei Jian, Jiaojin Wang, Hui Yu, Gai-Ge Wang:
Integrating object proposal with attention networks for video saliency detection. Inf. Sci. 576: 819-830 (2021) - [j62]Gai-Ge Wang, Cheng-Long Wei, Yong Wang, Witold Pedrycz:
Improving distributed anti-flocking algorithm for dynamic coverage of mobile wireless networks with obstacle avoidance. Knowl. Based Syst. 225: 107133 (2021) - [j61]Wei-Chang Yeh, Zhifeng Hao, Majid Forghani-elahabad, Gai-Ge Wang, Yih-Lon Lin:
Novel Binary-Addition Tree Algorithm for Reliability Evaluation of Acyclic Multistate Information Networks. Reliab. Eng. Syst. Saf. 210: 107427 (2021) - [j60]Miao Li, Chunquan Li, Zhengyu Huang, Jiehui Huang, Gaige Wang, Peter X. Liu:
Spiral-based chaotic chicken swarm optimization algorithm for parameters identification of photovoltaic models. Soft Comput. 25(20): 12875-12898 (2021) - 2020
- [j59]Zi-Min Gu, Gai-Ge Wang:
Improving NSGA-III algorithms with information feedback models for large-scale many-objective optimization. Future Gener. Comput. Syst. 107: 49-69 (2020) - [j58]Jiao-Hong Yi, Lining Xing, Gai-Ge Wang, Junyu Dong, Athanasios V. Vasilakos, Amir Hossein Alavi, Ling Wang:
Behavior of crossover operators in NSGA-III for large-scale optimization problems. Inf. Sci. 509: 470-487 (2020) - [j57]Yin Zhang, Gai-Ge Wang, Keqin Li, Wei-Chang Yeh, Muwei Jian, Junyu Dong:
Enhancing MOEA/D with information feedback models for large-scale many-objective optimization. Inf. Sci. 522: 1-16 (2020) - [j56]Xu Tan, Lining Xing, Zhaoquan Cai, Gaige Wang:
Analysis of production cycle-time distribution with a big-data approach. J. Intell. Manuf. 31(8): 1889-1897 (2020) - [j55]Wei Li, Gai-Ge Wang, Amir Hossein Alavi:
Learning-based elephant herding optimization algorithm for solving numerical optimization problems. Knowl. Based Syst. 195: 105675 (2020) - [j54]Logesh Ravi, V. Subramaniyaswamy, Varadarajan Vijayakumar, Xiao-Zhi Gao, Gai-Ge Wang:
Hybrid bio-inspired user clustering for the generation of diversified recommendations. Neural Comput. Appl. 32(7): 2487-2506 (2020) - [j53]Jing Sun, Zhuang Miao, Dunwei Gong, Xiao-Jun Zeng, Junqing Li, Gaige Wang:
Interval Multiobjective Optimization With Memetic Algorithms. IEEE Trans. Cybern. 50(8): 3444-3457 (2020) - [j52]Gai-Ge Wang, Xingjuan Cai, Zhihua Cui, Geyong Min, Jinjun Chen:
High Performance Computing for Cyber Physical Social Systems by Using Evolutionary Multi-Objective Optimization Algorithm. IEEE Trans. Emerg. Top. Comput. 8(1): 20-30 (2020) - [j51]Da Gao, Gai-Ge Wang, Witold Pedrycz:
Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism. IEEE Trans. Fuzzy Syst. 28(12): 3265-3275 (2020)
2010 – 2019
- 2019
- [j50]Yanhong Feng, Jiao-Hong Yi, Gai-Ge Wang:
Enhanced Moth Search Algorithm for the Set-Union Knapsack Problems. IEEE Access 7: 173774-173785 (2019) - [j49]Gai-Ge Wang, Amir H. Gandomi, Amir Hossein Alavi, Dunwei Gong:
A comprehensive review of krill herd algorithm: variants, hybrids and applications. Artif. Intell. Rev. 51(1): 119-148 (2019) - [j48]Zhifeng Hao, Wei-Chang Yeh, Jing Wang, Gai-Ge Wang, Bin Sun:
A Quick Inclusion-Exclusion technique. Inf. Sci. 486: 20-30 (2019) - [j47]Mohamed Abdel-Basset, Gai-Ge Wang, Arun Kumar Sangaiah, Ehab Rushdy:
Krill herd algorithm based on cuckoo search for solving engineering optimization problems. Multim. Tools Appl. 78(4): 3861-3884 (2019) - [j46]Gai-Ge Wang, Suash Deb, Zhihua Cui:
Monarch butterfly optimization. Neural Comput. Appl. 31(7): 1995-2014 (2019) - [j45]Guo-Sheng Hao, Meng-Hiot Lim, Yew-Soon Ong, Han Huang, Gai-Ge Wang:
Domination landscape in evolutionary algorithms and its applications. Soft Comput. 23(11): 3563-3570 (2019) - [j44]Gai-Ge Wang, Ying Tan:
Improving Metaheuristic Algorithms With Information Feedback Models. IEEE Trans. Cybern. 49(2): 542-555 (2019) - 2018
- [j43]Yanhong Feng, Gai-Ge Wang:
Binary Moth Search Algorithm for Discounted {0-1} Knapsack Problem. IEEE Access 6: 10708-10719 (2018) - [j42]Rizk Masoud Rizk-Allah, Ragab A. El-Sehiemy, Gai-Ge Wang:
A novel parallel hurricane optimization algorithm for secure emission/economic load dispatch solution. Appl. Soft Comput. 63: 206-222 (2018) - [j41]Yanhong Feng, Gai-Ge Wang, Junyu Dong, Ling Wang:
Opposition-based learning monarch butterfly optimization with Gaussian perturbation for large-scale 0-1 knapsack problem. Comput. Electr. Eng. 67: 454-468 (2018) - [j40]Shifeng Chen, Rong Chen, Gai-Ge Wang, Jian Gao, Arun Kumar Sangaiah:
An adaptive large neighborhood search heuristic for dynamic vehicle routing problems. Comput. Electr. Eng. 67: 596-607 (2018) - [j39]Srikanth Reddy K, Lokesh Kumar Panwar, Bijaya K. Panigrahi, Enrique Herrera-Viedma, Arun Kumar Sangaiah, Gai-Ge Wang:
Meta-heuristic framework: Quantum inspired binary grey wolf optimizer for unit commitment problem. Comput. Electr. Eng. 70: 243-260 (2018) - [j38]Yanhong Feng, Gai-Ge Wang, Ling Wang:
Solving randomized time-varying knapsack problems by a novel global firefly algorithm. Eng. Comput. 34(3): 621-635 (2018) - [j37]Jiao-Hong Yi, Suash Deb, Junyu Dong, Amir Hossein Alavi, Gai-Ge Wang:
An improved NSGA-III algorithm with adaptive mutation operator for Big Data optimization problems. Future Gener. Comput. Syst. 88: 571-585 (2018) - [j36]Gai-Ge Wang, Suash Deb, Leandro dos Santos Coelho:
Earthworm optimisation algorithm: a bio-inspired metaheuristic algorithm for global optimisation problems. Int. J. Bio Inspired Comput. 12(1): 1-22 (2018) - [j35]Guo-Sheng Hao, Gai-Ge Wang, Zhao-Jun Zhang, De-Xuan Zou:
Optimisation of the high-order problems in evolutionary algorithms: an application of transfer learning. Int. J. Wirel. Mob. Comput. 14(1): 56-63 (2018) - [j34]Amir Hossein Alavi, Zhihua Cui, Amir Hossein Gandomi, Xiao-Zhi Gao, Gai-Ge Wang, Meng-Hiot Lim:
Editorial. Memetic Comput. 10(2): 121-122 (2018) - [j33]Gai-Ge Wang:
Moth search algorithm: a bio-inspired metaheuristic algorithm for global optimization problems. Memetic Comput. 10(2): 151-164 (2018) - [j32]De-Xuan Zou, Suash Deb, Gai-Ge Wang:
Solving IIR system identification by a variant of particle swarm optimization. Neural Comput. Appl. 30(3): 685-698 (2018) - [j31]Yanhong Feng, Gai-Ge Wang, Wenbin Li, Ning Li:
Multi-strategy monarch butterfly optimization algorithm for discounted {0-1} knapsack problem. Neural Comput. Appl. 30(10): 3019-3036 (2018) - [j30]Gai-Ge Wang, Suash Deb, Xinchao Zhao, Zhihua Cui:
A new monarch butterfly optimization with an improved crossover operator. Oper. Res. 18(3): 731-755 (2018) - [j29]Zhihua Cui, Fei Xue, Xingjuan Cai, Yang Cao, Gaige Wang, Jinjun Chen:
Detection of Malicious Code Variants Based on Deep Learning. IEEE Trans. Ind. Informatics 14(7): 3187-3196 (2018) - [c11]Guo-Sheng Hao, Ze-Hui Yi, Lin Wan, Qiu-Yi Shi, Ya-Li Liu, Gai-Ge Wang:
Comparison of Two Swarm Intelligence Algorithms: From the Viewpoint of Learning. ICIC (3) 2018: 821-827 - [c10]Gai-Ge Wang, Danyu Bai, Wenyin Gong, Teng Ren, Xiaobo Liu, Xuesong Yan:
Particle-swarm Krill Herd Algorithm. IEEM 2018: 1073-1080 - [c9]Gai-Ge Wang, Guo-Sheng Hao, Zhihua Cui:
An Enhanced Monarch Butterfly Optimization with Self-adaptive Butterfly Adjusting and Crossover Operators. ICSI (1) 2018: 432-444 - 2017
- [j28]Ke Liu, Dunwei Gong, Fanlin Meng, Huanhuan Chen, Gai-Ge Wang:
Gesture segmentation based on a two-phase estimation of distribution algorithm. Inf. Sci. 394: 88-105 (2017) - [j27]Zhihua Cui, Bin Sun, Gaige Wang, Yu Xue, Jinjun Chen:
A novel oriented cuckoo search algorithm to improve DV-Hop performance for cyber-physical systems. J. Parallel Distributed Comput. 103: 42-52 (2017) - [j26]Yanhong Feng, Gai-Ge Wang, Suash Deb, Mei Lu, Xiang-Jun Zhao:
Solving 0-1 knapsack problem by a novel binary monarch butterfly optimization. Neural Comput. Appl. 28(7): 1619-1634 (2017) - [j25]Rizk Masoud Rizk-Allah, Ragab A. El-Sehiemy, Suash Deb, Gai-Ge Wang:
A novel fruit fly framework for multi-objective shape design of tubular linear synchronous motor. J. Supercomput. 73(3): 1235-1256 (2017) - [c8]Gai-Ge Wang, Guo-Sheng Hao, Shi Cheng, Yuhui Shi, Zhihua Cui:
An improved Brain Storm Optimization algorithm based on graph theory. CEC 2017: 509-515 - [c7]Gai-Ge Wang, Guo-Sheng Hao, Shi Cheng, Zhihua Cui:
An Improved Monarch Butterfly Optimization with Equal Partition and F/T Mutation. ICSI (1) 2017: 106-115 - 2016
- [j24]Gai-Ge Wang, Amir Hossein Gandomi, Amir Hossein Alavi, Suash Deb:
A Multi-Stage Krill Herd Algorithm for Global Numerical Optimization. Int. J. Artif. Intell. Tools 25(2): 1550030:1-1550030:17 (2016) - [j23]Gai-Ge Wang, Amir Hossein Gandomi, Xin-She Yang, Amir Hossein Alavi:
A new hybrid method based on krill herd and cuckoo search for global optimisation tasks. Int. J. Bio Inspired Comput. 8(5): 286-299 (2016) - [j22]Gai-Ge Wang, Suash Deb, Xiao-Zhi Gao, Leandro dos Santos Coelho:
A new metaheuristic optimisation algorithm motivated by elephant herding behaviour. Int. J. Bio Inspired Comput. 8(6): 394-409 (2016) - [j21]Yanhong Feng, Gai-Ge Wang, Xiao-Zhi Gao:
A Novel Hybrid Cuckoo Search Algorithm with Global Harmony Search for 0-1 Knapsack Problems. Int. J. Comput. Intell. Syst. 9(6): 1174-1190 (2016) - [j20]Gai-Ge Wang, Suash Deb, Amir Hossein Gandomi, Amir Hossein Alavi:
Opposition-based krill herd algorithm with Cauchy mutation and position clamping. Neurocomputing 177: 147-157 (2016) - [j19]De-Xuan Zou, Gaige Wang, Gai Pan, Hongwei Qin:
A modified simulated annealing algorithm and an excessive area model for floorplanning using fixed-outline constraints. Frontiers Inf. Technol. Electron. Eng. 17(11): 1228-1244 (2016) - [j18]Gaige Wang, Mei Lu, Yong-Quan Dong, Xiang-Jun Zhao:
Self-adaptive extreme learning machine. Neural Comput. Appl. 27(2): 291-303 (2016) - [j17]Gai-Ge Wang, Amir Hossein Gandomi, Amir Hossein Alavi, Suash Deb:
A hybrid method based on krill herd and quantum-behaved particle swarm optimization. Neural Comput. Appl. 27(4): 989-1006 (2016) - [j16]Hai-Cheng Chu, Gai-Ge Wang, Der-Jiunn Deng:
The social networking investigation of metadata of forensic artifacts of a typical WeChat session under Windows. Secur. Commun. Networks 9(18): 5698-5709 (2016) - [j15]Gai-Ge Wang, Amir Hossein Gandomi, Xiangjun Zhao, Hai Cheng Eric Chu:
Hybridizing harmony search algorithm with cuckoo search for global numerical optimization. Soft Comput. 20(1): 273-285 (2016) - [j14]Gai-Ge Wang, Suash Deb, Amir Hossein Gandomi, Zhaojun Zhang, Amir Hossein Alavi:
Chaotic cuckoo search. Soft Comput. 20(9): 3349-3362 (2016) - [c6]Gaige Wang, Mei Lu, Xiang-Jun Zhao:
An improved bat algorithm with variable neighborhood search for global optimization. CEC 2016: 1773-1778 - [c5]Gai-Ge Wang, Guo-Sheng Hao, Shi Cheng, Quande Qin:
A Discrete Monarch Butterfly Optimization for Chinese TSP Problem. ICSI (1) 2016: 165-173 - [c4]Shi Cheng, Quande Qin, Junfeng Chen, Gai-Ge Wang, Yuhui Shi:
Brain Storm Optimization in Objective Space Algorithm for Multimodal Optimization Problems. ICSI (1) 2016: 469-478 - 2015
- [j13]Zhi-Yong Li, Jiao-Hong Yi, Gai-Ge Wang:
A New Swarm Intelligence Approach for Clustering Based on Krill Herd with Elitism Strategy. Algorithms 8(4): 951-964 (2015) - [j12]Hai-Cheng Chu, Gai-Ge Wang, Jong Hyuk Park:
The Digital Fingerprinting Analysis Concerning Google Calendar under Ubiquitous Mobile Computing Era. Symmetry 7(2): 383-394 (2015) - [c3]Gai-Ge Wang, Bao Chang, Zhaojun Zhang:
A Multi-swarm bat algorithm for global optimization. CEC 2015: 480-485 - [c2]Guo-sheng Hao, Chang-Shuai Chen, Gai-Ge Wang, Yong-Qing Huang, De-Xuan Zhou, Zhaojun Zhang:
Efficiency and Effectiveness Metrics in Evolutionary Algorithms and Their Application. ICIC (2) 2015: 1-12 - [c1]Guo-sheng Hao, Chang-Shuai Chen, Gai-Ge Wang, Ping Ling, Ya-Li Liu, Zhaojun Zhang, De-Xuan Zou, Yong-Qing Huang:
Offline determinations of parameter values in genetic algorithm. ICNC 2015: 239-244 - 2014
- [j11]Yanhong Feng, Gai-Ge Wang, Qingjiang Feng, Xiang-Jun Zhao:
An Effective Hybrid Cuckoo Search Algorithm with Improved Shuffled Frog Leaping Algorithm for 0-1 Knapsack Problems. Comput. Intell. Neurosci. 2014: 857254:1-857254:17 (2014) - [j10]Gai-Ge Wang, Amir Hossein Gandomi, Amir Hossein Alavi:
Stud krill herd algorithm. Neurocomputing 128: 363-370 (2014) - [j9]Lihong Guo, Gai-Ge Wang, Amir Hossein Gandomi, Amir Hossein Alavi, Hong Duan:
A new improved krill herd algorithm for global numerical optimization. Neurocomputing 138: 392-402 (2014) - [j8]Gai-Ge Wang, Lihong Guo, Amir Hossein Gandomi, Guo-sheng Hao, Heqi Wang:
Chaotic Krill Herd algorithm. Inf. Sci. 274: 17-34 (2014) - [j7]Gaige Wang, Lihong Guo, Heqi Wang, Hong Duan, Luo Liu, Jiang Li:
Incorporating mutation scheme into krill herd algorithm for global numerical optimization. Neural Comput. Appl. 24(3-4): 853-871 (2014) - [j6]Gaige Wang, Lihong Guo, Heqi Wang, Hong Duan, Luo Liu, Jiang Li:
Erratum to: Incorporating mutation scheme into krill herd algorithm for global numerical optimization. Neural Comput. Appl. 24(5): 1231 (2014) - [j5]Gai-Ge Wang, Amir Hossein Gandomi, Amir Hossein Alavi, Guo-sheng Hao:
Hybrid krill herd algorithm with differential evolution for global numerical optimization. Neural Comput. Appl. 25(2): 297-308 (2014) - [j4]Seyedali Mirjalili, Gai-Ge Wang, Leandro dos Santos Coelho:
Binary optimization using hybrid particle swarm optimization and gravitational search algorithm. Neural Comput. Appl. 25(6): 1423-1435 (2014) - 2013
- [j3]Gaige Wang, Lihong Guo:
A Novel Hybrid Bat Algorithm with Harmony Search for Global Numerical Optimization. J. Appl. Math. 2013: 696491:1-696491:21 (2013) - [j2]Gai-Ge Wang, Amir Hossein Gandomi, Amir Hossein Alavi:
A chaotic particle-swarm krill herd algorithm for global numerical optimization. Kybernetes 42(6): 962-978 (2013) - 2012
- [j1]Gaige Wang, Lihong Guo, Hong Duan, Luo Liu, Heqi Wang:
Dynamic Deployment of Wireless Sensor Networks by Biogeography Based Optimization Algorithm. J. Sens. Actuator Networks 1(2): 86-96 (2012)
Coauthor Index
Amir Hossein Gandomi
aka: Amir H. Gandomi
aka: Amir H. Gandomi
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, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-17 20:27 CEST by the dblp team
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