| Adaptive distributed differential evolution ZH Zhan, ZJ Wang, H Jin, J Zhang IEEE transactions on cybernetics 50 (11), 4633-4647, 2019 | 195 | 2019 |
| Dynamic group learning distributed particle swarm optimization for large-scale optimization and its application in cloud workflow scheduling ZJ Wang, ZH Zhan, WJ Yu, Y Lin, J Zhang, TL Gu, J Zhang IEEE transactions on cybernetics 50 (6), 2715-2729, 2019 | 194 | 2019 |
| Automatic niching differential evolution with contour prediction approach for multimodal optimization problems ZJ Wang, ZH Zhan, Y Lin, WJ Yu, H Wang, S Kwong, J Zhang IEEE Transactions on Evolutionary Computation 24 (1), 114-128, 2019 | 193 | 2019 |
| Adaptive granularity learning distributed particle swarm optimization for large-scale optimization ZJ Wang, ZH Zhan, S Kwong, H Jin, J Zhang IEEE transactions on cybernetics 51 (3), 1175-1188, 2020 | 153 | 2020 |
| Dual-strategy differential evolution with affinity propagation clustering for multimodal optimization problems ZJ Wang, ZH Zhan, Y Lin, WJ Yu, HQ Yuan, TL Gu, S Kwong, J Zhang IEEE Transactions on Evolutionary Computation 22 (6), 894-908, 2017 | 144 | 2017 |
| Adaptive estimation distribution distributed differential evolution for multimodal optimization problems ZJ Wang, YR Zhou, J Zhang IEEE transactions on cybernetics 52 (7), 6059-6070, 2020 | 39 | 2020 |
| Solving the energy efficient coverage problem in wireless sensor networks: A distributed genetic algorithm approach with hierarchical fitness evaluation ZJ Wang, ZH Zhan, J Zhang Energies 11 (12), 3526, 2018 | 37 | 2018 |
| Gene targeting differential evolution: A simple and efficient method for large scale optimization ZJ Wang, JR Jian, ZH Zhan, Y Li, S Kwong, J Zhang IEEE Transactions on Evolutionary Computation, 2022 | 29 | 2022 |
| Orthogonal learning particle swarm optimization with variable relocation for dynamic optimization ZJ Wang, ZH Zhan, KJ Du, ZW Yu, J Zhang 2016 IEEE congress on evolutionary computation (CEC), 594-600, 2016 | 23 | 2016 |
| Intelligent path planning for AUVs in dynamic environments: An EDA-based learning fixed height histogram approach RD Liu, ZG Chen, ZJ Wang, ZH Zhan IEEE Access 7, 185433-185446, 2019 | 18 | 2019 |
| A distributed multiple populations framework for evolutionary algorithm in solving dynamic optimization problems XW Luo, ZJ Wang, RC Guan, ZH Zhan, Y Gao IEEE Access 7, 44372-44390, 2019 | 17 | 2019 |
| An improved method for comprehensive learning particle swarm optimization ZJ Wang, ZH Zhan, J Zhang 2015 IEEE Symposium Series on Computational Intelligence, 218-225, 2015 | 14 | 2015 |
| Distributed minimum spanning tree differential evolution for multimodal optimization problems ZJ Wang, ZH Zhan, J Zhang Soft Computing 23, 13339-13349, 2019 | 13 | 2019 |
| Competitive swarm optimizer with dynamic grouping for large scale optimization T Ling, ZH Zhan, YX Wang, ZJ Wang, WJ Yu, J Zhang 2018 IEEE Congress on Evolutionary Computation (CEC), 2655-2660, 2018 | 12 | 2018 |
| Parallel multi-strategy evolutionary algorithm using massage passing interface for many-objective optimization ZJ Wang, ZH Zhan, J Zhang 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 12 | 2016 |
| Adaptive radius species based particle swarm optimization for multimodal optimization problems ZH Zhan, ZJ Wang, Y Lin, J Zhang 2016 IEEE Congress on Evolutionary Computation (CEC), 2043-2048, 2016 | 8 | 2016 |
| Fitness and distance based local search with adaptive differential evolution for multimodal optimization problems ZJ Wang, ZH Zhan, Y Li, S Kwong, SW Jeon, J Zhang IEEE Transactions on Emerging Topics in Computational Intelligence, 2023 | 5 | 2023 |
| Bi-directional learning particle swarm optimization for large-scale optimization S Liu, ZJ Wang, YG Wang, S Kwong, J Zhang Applied Soft Computing 149, 110990, 2023 | 4 | 2023 |
| Superiority combination learning distributed particle swarm optimization for large-scale optimization ZJ Wang, Q Yang, YH Zhang, SH Chen, YG Wang Applied Soft Computing 136, 110101, 2023 | 3 | 2023 |
| Triple competitive differential evolution for global numerical optimization Q Yang, ZY Qiao, P Xu, X Lin, XD Gao, ZJ Wang, ZY Lu, SW Jeon, ... Swarm and Evolutionary Computation 84, 101450, 2024 | 2 | 2024 |
