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2020 – today
- 2025
[j16]Qianru Huang, Qinwei Fan, Zhiwei Xing, Xiaofei Yang, Xingshi He:
Convergence analysis of a novel high order networks model based on entropy error function. Math. Comput. Simul. 227: 405-419 (2025)- 2024
- [j15]Zhiwei Xing
, Jigen Peng, Xingshi He, Mengnan Tian:
Semi-supervised sparse subspace clustering with manifold regularization. Appl. Intell. 54(9-10): 6836-6845 (2024) - [j14]Yaru Chen, Jie Zhou, Xingshi He, Xinglong Luo:
An improved density peaks clustering based on sparrow search algorithm. Clust. Comput. 27(8): 11017-11037 (2024) - [j13]Shuai Zhao, Qinwei Fan, Qingmei Dong, Zhiwei Xing, Xiaofei Yang, Xingshi He:
Efficient construction and convergence analysis of sparse convolutional neural networks. Neurocomputing 597: 128032 (2024) - 2023
- [j12]Mengnan Tian, Yanhui Meng, Xingshi He, Qingqing Zhang, Yanghan Gao:
An Enhanced Adaptive Differential Evolution Algorithm With Multi-Mutation Schemes and Weighted Control Parameter Setting. IEEE Access 11: 98854-98874 (2023) - [j11]Juzhen Wang, Xiaoli Zhang, Xingshi He, Yongqiang Sun:
Bandwidth Allocation and Trajectory Control in UAV-Assisted IoV Edge Computing Using Multiagent Reinforcement Learning. IEEE Trans. Reliab. 72(2): 599-608 (2023) - 2022
- [j10]Qian Li, Sanyang Liu, Yi-Guang Bai, Xingshi He, Xin-She Yang:
An elitism-based multi-objective evolutionary algorithm for min-cost network disintegration. Knowl. Based Syst. 239: 107944 (2022) - [j9]Lingling Li, Ting Zhao, Xingshi He, Xinshe Yang, Tianhai Tian, Xinan Zhang:
Mathematical modeling for mutator phenotype and clonal selection advantage in the risk analysis of lung cancer. Theory Biosci. 141(3): 261-272 (2022) - 2020
- [j8]Xuefang Lai, Xiaolong Wang, Yufeng Nie, Xingshi He:
An efficient parameter estimation method for nonlinear high-order systems via surrogate modeling and cuckoo search. Soft Comput. 24(22): 17065-17079 (2020) - [e1]Xin-She Yang, Xingshi He:
Nature-Inspired Computation in Data Mining and Machine Learning. Studies in Computational Intelligence 855, Springer 2020, ISBN 978-3-030-28552-4 [contents]
2010 – 2019
- 2019
- [j7]Tengyue Li, Simon Fong, Liansheng Liu, Xin-She Yang, Xingshi He, Jinan Fiaidhi, Sabah Mohammed:
White Learning: A White-Box Data Fusion Machine Learning Framework for Extreme and Fast Automated Cancer Diagnosis. IT Prof. 21(5): 71-77 (2019) - [j6]Xin-She Yang, Suash Deb, Thomas Hanne, Xingshi He:
Attraction and diffusion in nature-inspired optimization algorithms. Neural Comput. Appl. 31(7): 1987-1994 (2019) - [c13]Xingshi He, Qin-Wei Fan, Mehmet Karamanoglu, Xin-She Yang:
Comparison of Constraint-Handling Techniques for Metaheuristic Optimization. ICCS (3) 2019: 357-366 - [i7]Si Chen, Guo-Hua Peng, Xingshi He, Xin-She Yang:
The Global Convergence Analysis of the Bat Algorithm Using a Markovian Framework and Dynamical System Theory. CoRR abs/1903.11971 (2019) - 2018
- [j5]Si Chen, Guo-Hua Peng, Xingshi He, Xin-She Yang:
Global convergence analysis of the bat algorithm using a markovian framework and dynamical system theory. Expert Syst. Appl. 114: 173-182 (2018) - [j4]Xin-She Yang, Suash Deb, Yuxin Zhao, Simon Fong, Xingshi He:
Swarm intelligence: past, present and future. Soft Comput. 22(18): 5923-5933 (2018) - [c12]Qin-Wei Fan, Xingshi He, Xin-She Yang:
Smoothing Regularized Extreme Learning Machine. EANN 2018: 83-93 - [i6]Xingshi He, Xin-She Yang, Mehmet Karamanoglu, Yuxin Zhao:
Global Convergence Analysis of the Flower Pollination Algorithm: A Discrete-Time Markov Chain Approach. CoRR abs/1804.07995 (2018) - [i5]Xin-She Yang, Suash Deb, Yuxin Zhao, Simon Fong, Xingshi He:
Swarm Intelligence: Past, Present and Future. CoRR abs/1804.07999 (2018) - [i4]Xin-She Yang, Xingshi He:
Why the Firefly Algorithm Works? CoRR abs/1806.01632 (2018) - 2017
- [c11]Jingjing Xue, Xingshi He, Xinshe Yang, Xiaoying Hao, Feiyue He:
Multi-threshold Image Segmentation Method Based on Flower Pollination Algorithm. BIC-TA 2017: 39-51 - [c10]Xingshi He, Xin-She Yang, Mehmet Karamanoglu, Yuxin Zhao:
Global Convergence Analysis of the Flower Pollination Algorithm: A Discrete-Time Markov Chain Approach. ICCS 2017: 1354-1363 - 2016
- [j3]Xin-She Yang, Suash Deb, Simon Fong, Xingshi He, Yuxin Zhao:
From Swarm Intelligence to Metaheuristics: Nature-Inspired Optimization Algorithms. Computer 49(9): 52-59 (2016) - [p2]Xin-She Yang, Xingshi He:
Nature-Inspired Optimization Algorithms in Engineering: Overview and Applications. Nature-Inspired Computation in Engineering 2016: 1-20 - 2015
- [c9]Yonghua Mao, Xiaolin Gui, Xingshi He, Ying Guo:
A New Compound Kernel Function for SVM. UIC/ATC/ScalCom 2015: 1306-1309 - [p1]Xin-She Yang, Xingshi He:
Swarm Intelligence and Evolutionary Computation: Overview and Analysis. Recent Advances in Swarm Intelligence and Evolutionary Computation 2015: 1-23 - 2014
- [j2]Xingshi He, Wen-Jing Ding, Xin-She Yang:
Bat algorithm based on simulated annealing and Gaussian perturbations. Neural Comput. Appl. 25(2): 459-468 (2014) - [c8]Xingshi He, Na Li, Xin-She Yang:
Non-dominated sorting cuckoo search for multiobjective optimization. SIS 2014: 27-33 - [i3]Xin-She Yang, Mehmet Karamanoglu, Xingshi He:
Multi-objective Flower Algorithm for Optimization. CoRR abs/1404.0695 (2014) - [i2]Xin-She Yang, Mehmet Karamanoglu, Xingshi He:
Flower Pollination Algorithm: A Novel Approach for Multiobjective Optimization. CoRR abs/1408.5332 (2014) - 2013
- [j1]Xin-She Yang, Xingshi He:
Bat algorithm: literature review and applications. Int. J. Bio Inspired Comput. 5(3): 141-149 (2013) - [c7]Xin-She Yang, Suash Deb, Xingshi He:
Eagle strategy with flower algorithm. ICACCI 2013: 1213-1217 - [c6]Xin-She Yang, Mehmet Karamanoglu, Xingshi He:
Multi-Objective Flower Algorithm for Optimization. ICCS 2013: 861-868 - [i1]Xin-She Yang, Xingshi He:
Firefly Algorithm: Recent Advances and Applications. CoRR abs/1308.3898 (2013)
2000 – 2009
- 2007
- [c5]Xingshi He, Lin Han:
A novel binary differential evolution algorithm based on artificial immune system. IEEE Congress on Evolutionary Computation 2007: 2267-2272 - [c4]Lin Han, Xingshi He:
A Novel Opposition-Based Particle Swarm Optimization for Noisy Problems. ICNC (3) 2007: 624-629 - 2006
- [c3]Bing Yu, Xingshi He:
Training radial basis function networks with differential evolution. GrC 2006: 369-372 - 2004
- [c2]Yu Liu, Zheng Qin, Xingshi He:
Supervisor-student model in particle swarm optimization. IEEE Congress on Evolutionary Computation 2004: 542-547 - [c1]Yu Liu, Zheng Qin, Zenglin Xu, Xingshi He:
Feature Selection with Particle Swarms. CIS 2004: 425-430
Coauthor Index
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