| Differential Evolution for Multimodal Optimization With Species by Nearest-Better Clustering X Lin, W Luo, P Xu IEEE Transactions on Cybernetics, 2021 | 70 | 2021 |
| A clonal selection algorithm for dynamic multimodal function optimization W Luo, X Lin, T Zhu, P Xu Swarm and Evolutionary Computation 50, 100459, 2019 | 54 | 2019 |
| Hybridizing niching, particle swarm optimization, and evolution strategy for multimodal optimization W Luo, Y Qiao, X Lin, P Xu, M Preuss IEEE Transactions on cybernetics 52 (7), 6707-6720, 2020 | 44 | 2020 |
| Recent advances in clonal selection algorithms and applications W Luo, X Lin 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 27 | 2017 |
| Hybrid of PSO and CMA-ES for global optimization P Xu, W Luo, X Lin, Y Qiao, T Zhu 2019 IEEE congress on evolutionary computation (CEC), 27-33, 2019 | 25 | 2019 |
| Benchmark functions for CEC 2022 competition on seeking multiple optima in dynamic environments W Luo, X Lin, C Li, S Yang, Y Shi arXiv preprint arXiv:2201.00523, 2022 | 18 | 2022 |
| Generating multi-label adversarial examples by linear programming N Zhou, W Luo, X Lin, P Xu, Z Zhang 2020 international joint conference on neural networks (IJCNN), 1-8, 2020 | 17 | 2020 |
| A hybrid particle swarm optimization for high-dimensional dynamic optimization W Luo, B Yang, C Bu, X Lin Simulated Evolution and Learning: 11th International Conference, SEAL 2017 …, 2017 | 16 | 2017 |
| Constraint-objective cooperative coevolution for large-scale constrained optimization P Xu, W Luo, X Lin, J Zhang, Y Qiao, X Wang ACM Transactions on Evolutionary Learning and Optimization 1 (3), 1-26, 2021 | 14 | 2021 |
| Evolutionary approach to multiparty multiobjective optimization problems with common pareto optimal solutions W Liu, W Luo, X Lin, M Li, S Yang 2020 IEEE Congress on Evolutionary Computation (CEC), 1-9, 2020 | 13 | 2020 |
| The g-dominance relation for preference-based evolutionary multi-objective optimization W Luo, L Shi, X Lin, CAC Coello 2019 IEEE Congress on Evolutionary Computation (CEC), 2418-2425, 2019 | 13 | 2019 |
| A hybrid genetic algorithm for vehicle routing problems with dynamic requests R Yi, W Luo, C Bu, X Lin 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 12 | 2017 |
| BSO20: efficient brain storm optimization for real-parameter numerical optimization P Xu, W Luo, X Lin, S Cheng, Y Shi Complex & Intelligent Systems 7 (5), 2415-2436, 2021 | 11 | 2021 |
| Evolutionary continuous constrained optimization using random direction repair P Xu, W Luo, X Lin, Y Qiao Information Sciences 566, 80-102, 2021 | 11 | 2021 |
| A new evolutionary approach to multiparty multiobjective optimization Z She, W Luo, Y Chang, X Lin, Y Tan International Conference on Swarm Intelligence, 58-69, 2021 | 10 | 2021 |
| Difficulty and contribution based cooperative coevolution for large-scale optimization P Xu, W Luo, X Lin, Y Chang, K Tang IEEE Transactions on Evolutionary Computation, 2022 | 9 | 2022 |
| PopDMMO: A general framework of population-based stochastic search algorithms for dynamic multimodal optimization X Lin, W Luo, P Xu, Y Qiao, S Yang Swarm and Evolutionary Computation 68, 101011, 2022 | 9 | 2022 |
| Multiparty multiobjective optimization by MOEA/D Y Chang, W Luo, X Lin, Z She, Y Shi 2022 IEEE Congress on Evolutionary Computation (CEC), 01-08, 2022 | 8 | 2022 |
| On multiobjective knapsack problems with multiple decision makers Z Song, W Luo, X Lin, Z She, Q Zhang 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 156-163, 2022 | 7 | 2022 |
| Many-modal optimization by difficulty-based cooperative co-evolution W Luo, Y Qiao, X Lin, P Xu, M Preuss 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1907-1914, 2019 | 7 | 2019 |
Wenjian LuoProfessor, School of Computer Science and Technology, Harbin Institute of Technology, ShenzhenCorreu electrònic verificat a hit.edu.cn
