Opposition-based differential evolution S Rahnamayan, HR Tizhoosh, MMA Salama IEEE Transactions on Evolutionary computation 12 (1), 64-79, 2008 | 1920 | 2008 |
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 | 553 | 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 | 489 | 2013 |
Metaheuristics in large-scale global continues optimization: A survey S Mahdavi, ME Shiri, S Rahnamayan Information Sciences 295, 407-428, 2015 | 480 | 2015 |
A novel population initialization method for accelerating evolutionary algorithms S Rahnamayan, HR Tizhoosh, MMA Salama Computers & Mathematics with Applications 53 (10), 1605-1614, 2007 | 441 | 2007 |
Quasi-oppositional differential evolution S Rahnamayan, HR Tizhoosh, MMA Salama 2007 IEEE congress on evolutionary computation, 2229-2236, 2007 | 437 | 2007 |
Opposition versus randomness in soft computing techniques S Rahnamayan, HR Tizhoosh, MMA Salama Applied Soft Computing 8 (2), 906-918, 2008 | 400 | 2008 |
A note on uniform distribution and experimental design 王元, 方开泰 科学通报: 英文版, 485-489, 1981 | 371 | 1981 |
Opposition based learning: A literature review S Mahdavi, S Rahnamayan, K Deb Swarm and evolutionary computation 39, 1-23, 2018 | 339 | 2018 |
Gaussian bare-bones differential evolution H Wang, S Rahnamayan, H Sun, MGH Omran IEEE Transactions on Cybernetics 43 (2), 634-647, 2013 | 303 | 2013 |
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 | 299 | 2014 |
Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems H Wang, Z Wu, S Rahnamayan Soft Computing 15, 2127-2140, 2011 | 248 | 2011 |
Opposition-based differential evolution algorithms S Rahnamayan, HR Tizhoosh, MMA Salama 2006 IEEE international conference on evolutionary computation, 2010-2017, 2006 | 244 | 2006 |
Firefly algorithm with random attraction H Wang, W Wang, H Sun, S Rahnamayan International Journal of Bio-Inspired Computation 8 (1), 33-41, 2016 | 198 | 2016 |
Opposition-based differential evolution for optimization of noisy problems S Rahnamayan, HR Tizhoosh, MMA Salama 2006 IEEE International Conference on Evolutionary Computation, 1865-1872, 2006 | 151 | 2006 |
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, 5325-5339, 2017 | 120 | 2017 |
A new cuckoo search algorithm with hybrid strategies for flow shop scheduling problems H Wang, W Wang, H Sun, Z Cui, S Rahnamayan, S Zeng Soft Computing 21, 4297-4307, 2017 | 88 | 2017 |
3D-RadVis: Visualization of Pareto front in many-objective optimization A Ibrahim, S Rahnamayan, MV Martin, K Deb 2016 ieee congress on evolutionary computation (cec), 736-745, 2016 | 88 | 2016 |
Solving large scale optimization problems by opposition-based differential evolution (ODE) S Rahnamayan, GG Wang WSEAS Transactions on Computers 7 (10), 1792-1804, 2008 | 87 | 2008 |