| Opposition-based differential evolution S Rahnamayan, HR Tizhoosh, MMA Salama IEEE Transactions on Evolutionary computation 12 (1), 64-79, 2008 | 2053 | 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 | 607 | 2011 |
| Metaheuristics in large-scale global continues optimization: A survey S Mahdavi, ME Shiri, S Rahnamayan Information Sciences 295, 407-428, 2015 | 579 | 2015 |
| Quasi-oppositional differential evolution S Rahnamayan, HR Tizhoosh, MMA Salama 2007 IEEE congress on evolutionary computation, 2229-2236, 2007 | 551 | 2007 |
| Diversity enhanced particle swarm optimization with neighborhood search H Wang, H Sun, C Li, S Rahnamayan, J Pan Information Sciences 223, 119-135, 2013 | 518 | 2013 |
| A novel population initialization method for accelerating evolutionary algorithms S Rahnamayan, HR Tizhoosh, MMA Salama Computers & Mathematics with Applications 53 (10), 1605-1614, 2007 | 495 | 2007 |
| Opposition based learning: A literature review S Mahdavi, S Rahnamayan, K Deb Swarm and evolutionary computation 39, 1-23, 2018 | 494 | 2018 |
| Opposition versus randomness in soft computing techniques S Rahnamayan, HR Tizhoosh, MMA Salama Applied Soft Computing 8 (2), 906-918, 2008 | 430 | 2008 |
| 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 | 327 | 2014 |
| Gaussian bare-bones differential evolution H Wang, S Rahnamayan, H Sun, MGH Omran IEEE Transactions on Cybernetics 43 (2), 634-647, 2013 | 320 | 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 | 267 | 2011 |
| Opposition-based differential evolution algorithms S Rahnamayan, HR Tizhoosh, MMA Salama 2006 IEEE international conference on evolutionary computation, 2010-2017, 2006 | 262 | 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 | 211 | 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 | 153 | 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 | 139 | 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 | 131 | 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 | 105 | 2016 |
| 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 (15), 4297-4307, 2017 | 99 | 2017 |
| Gaussian bare-bones artificial bee colony algorithm X Zhou, Z Wu, H Wang, S Rahnamayan Soft Computing 20 (3), 907-924, 2016 | 98 | 2016 |
| Center-based sampling for population-based algorithms S Rahnamayan, GG Wang 2009 IEEE Congress on Evolutionary Computation, 933-938, 2009 | 93 | 2009 |
H.R. TizhooshKIMIA Lab, Mayo ClinicVerified email at mayo.edu
