| Enhancing particle swarm optimization using generalized opposition-based learning H Wang, Z Wu, S Rahnamayan, Y Liu, M Ventresca Information Sciences 181 (20), 4699-4714, 2011 | 569 | 2011 |
| Diversity Enhanced Particle Swarm Optimization with Neighborhood Search H Wang, H Sun, C Li, S Rahnamayan, J Pan Information Sciences 223, 119-135, 2013 | 496 | 2013 |
| Opposition-based particle swarm algorithm with cauchy mutation H Wang, Y Liu, H Li, C Li, SY Zeng IEEE Congress on Evolutionary Computation, 4750-4756, 2007 | 373 | 2007 |
| Firefly Algorithm with Neighborhood Attraction H Wang, W Wang, X Zhou, H Sun, J Zhao, X Yu, Z Cui Information Sciences 382, 374–387, 2017 | 359 | 2017 |
| Multi-strategy ensemble artificial bee colony algorithm H Wang, Z Wu, S Rahnamayan, H Sun, Y Liu, J Pan Information Sciences 279, 587-603, 2014 | 313 | 2014 |
| Gaussian Bare-Bones Differential Evolution H Wang, S Rahnamayan, H Sun, MGH Omran IEEE Transactions on Cybernetics 43 (2), 634-647, 2013 | 308 | 2013 |
| Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems H Wang, Z Wu, S Rahnamayan Soft Computing 15 (11), 2127-2140, 2011 | 254 | 2011 |
| Hybrid multi-objective cuckoo search with dynamical local search M Zhang, H Wang, Z Cui, J Chen Memetic Computing 10 (2), 199-208, 2018 | 243 | 2018 |
| Hybrid many-objective particle swarm optimization algorithm for green coal production problem Z Cui, J Zhang, D Wu, X Cai, H Wang, W Zhang, J Chen Information Sciences 518, 256-271, 2020 | 205 | 2020 |
| Firefly algorithm with random attraction H Wang, W Wang, H Sun, S Rahnamayan International Journal of Bio-Inspired Computation 8 (1), 33-41, 2016 | 205 | 2016 |
| Improving artificial bee colony algorithm using a new neighborhood selection mechanism H Wang, W Wang, S Xiao, Z Cui, M Xu, X Zhou Information Sciences 527, 227-240, 2020 | 175 | 2020 |
| A new dynamic firefly algorithm for demand estimation of water resources H Wang, W Wang, Z Cui, X Zhou, J Zhao, Y Li Information Sciences 438, 95-106, 2018 | 169 | 2018 |
| A hybrid particle swarm algorithm with Cauchy mutation H Wang, Y Liu, C Li, S Zeng Swarm Intelligence Symposium, 2007. SIS 2007. IEEE, 356-360, 2007 | 166 | 2007 |
| Firefly algorithm with adaptive control parameters H Wang, X Zhou, H Sun, X Yu, J Zhao, H Zhang, L Cui Soft Computing 21 (17), 5091-5102, 2017 | 159 | 2017 |
| A hybrid multi-objective firefly algorithm for big data optimization H Wang, W Wang, L Cui, H Sun, J Zhao, Y Wang, Y Xue Applied Soft Computing 69, 806-815, 2018 | 158 | 2018 |
| Bat algorithm with triangle-flipping strategy for numerical optimization X Cai, H Wang, Z Cui, J Cai, Y Xue, L Wang International Journal of Machine Learning and Cybernetics 9 (2), 199-215, 2018 | 141 | 2018 |
| Parallel differential evolution with self-adapting control parameters and generalized opposition-based learning for solving high-dimensional optimization problems H Wang, S Rahnamayan, Z Wu Journal of Parallel and Distributed Computing 73 (1), 62-73, 2013 | 133 | 2013 |
| Randomly attracted firefly algorithm with neighborhood search and dynamic parameter adjustment mechanism H Wang, Z Cui, H Sun, S Rahnamayan, XS Yang Soft Computing 21 (18), 5325-5339, 2017 | 126 | 2017 |
| Space transformation search: a new evolutionary technique H Wang, Z Wu, Y Liu, J Wang, D Jiang, L Chen Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary …, 2009 | 125 | 2009 |
| Particle swarm optimization with adaptive mutation for multimodal optimization H Wang, W Wang, Z Wu Applied Mathematics and Computation 221, 296-305, 2013 | 102 | 2013 |
Shahryar Rahnamayan, PhD, PEng, S...Professor and Chair, Engineering Department, Brock University, CanadaVerified email at brocku.ca