| A survey of swarm intelligence for dynamic optimization: Algorithms and applications M Mavrovouniotis, C Li, S Yang Swarm and Evolutionary Computation 33, 1-17, 2017 | 646 | 2017 |
| 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 |
| A self-learning particle swarm optimizer for global optimization problems C Li, S Yang, TT Nguyen IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2011 | 443 | 2011 |
| A clustering particle swarm optimizer for locating and tracking multiple optima in dynamic environments S Yang, C Li IEEE Transactions on evolutionary Computation 14 (6), 959-974, 2010 | 425 | 2010 |
| Opposition-based particle swarm algorithm with Cauchy mutation H Wang, H Li, Y Liu, C Li, S Zeng 2007 IEEE congress on evolutionary computation, 4750-4756, 2007 | 372 | 2007 |
| Differential evolution with auto-enhanced population diversity M Yang, C Li, Z Cai, J Guan IEEE transactions on cybernetics 45 (2), 302-315, 2014 | 244 | 2014 |
| Benchmark generator for CEC 2009 competition on dynamic optimization C Li, S Yang, TT Nguyen, EL Yu, X Yao, Y Jin, HG Beyer, PN Suganthan | 242 | 2008 |
| A general framework of multipopulation methods with clustering in undetectable dynamic environments C Li, S Yang IEEE transactions on evolutionary computation 16 (4), 556-577, 2012 | 210 | 2012 |
| A clustering particle swarm optimizer for dynamic optimization C Li, S Yang 2009 IEEE congress on evolutionary computation, 439-446, 2009 | 172 | 2009 |
| A hybrid particle swarm algorithm with Cauchy mutation H Wang, C Li, Y Liu, S Zeng 2007 IEEE Swarm Intelligence Symposium, 356-360, 2007 | 166 | 2007 |
| Fast multi-swarm optimization for dynamic optimization problems C Li, S Yang 2008 fourth international conference on natural computation 7, 624-628, 2008 | 165 | 2008 |
| Handling constrained many-objective optimization problems via problem transformation R Jiao, S Zeng, C Li, S Yang, YS Ong IEEE Transactions on Cybernetics 51 (10), 4834-4847, 2020 | 124 | 2020 |
| A generalized approach to construct benchmark problems for dynamic optimization C Li, S Yang Simulated Evolution and Learning: 7th International Conference, SEAL 2008 …, 2008 | 121 | 2008 |
| Efficient resource allocation in cooperative co-evolution for large-scale global optimization M Yang, MN Omidvar, C Li, X Li, Z Cai, B Kazimipour, X Yao IEEE Transactions on Evolutionary Computation 21 (4), 493-505, 2016 | 115 | 2016 |
| A general framework of dynamic constrained multiobjective evolutionary algorithms for constrained optimization S Zeng, R Jiao, C Li, X Li, JS Alkasassbeh IEEE transactions on Cybernetics 47 (9), 2678-2688, 2017 | 106 | 2017 |
| An adaptive multipopulation framework for locating and tracking multiple optima C Li, TT Nguyen, M Yang, M Mavrovouniotis, S Yang IEEE transactions on evolutionary computation 20 (4), 590-605, 2015 | 97 | 2015 |
| Multi-population methods in unconstrained continuous dynamic environments: The challenges C Li, TT Nguyen, M Yang, S Yang, S Zeng Information Sciences 296, 95-118, 2015 | 95 | 2015 |
| A new approach to solving dynamic traveling salesman problems C Li, M Yang, L Kang Asia-Pacific Conference on Simulated Evolution and Learning, 236-243, 2006 | 86 | 2006 |
| An efficient recursive differential grouping for large-scale continuous problems M Yang, A Zhou, C Li, X Yao IEEE Transactions on Evolutionary Computation 25 (1), 159-171, 2020 | 84 | 2020 |
| An adaptive multi-swarm optimizer for dynamic optimization problems C Li, S Yang, M Yang Evolutionary computation 22 (4), 559-594, 2014 | 82 | 2014 |
Shengxiang YangProfessor of Computational Intelligence, De Montfort UniversityEmail yang diverifikasi di dmu.ac.uk