Shahryar Rahnamayan
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Opposition-based differential evolution
S Rahnamayan, HR Tizhoosh, MMA Salama
IEEE Transactions on Evolutionary computation 12 (1), 64-79, 2008
Diversity enhanced particle swarm optimization with neighborhood search
H Wang, H Sun, C Li, S Rahnamayan, J Pan
Information Sciences 223, 119-135, 2013
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
A novel population initialization method for accelerating evolutionary algorithms
S Rahnamayan, HR Tizhoosh, MMA Salama
Computers & Mathematics with Applications 53 (10), 1605-1614, 2007
Metaheuristics in large-scale global continues optimization: A survey
S Mahdavi, ME Shiri, S Rahnamayan
Information Sciences 295, 407-428, 2015
Opposition versus randomness in soft computing techniques
S Rahnamayan, HR Tizhoosh, MMA Salama
Applied Soft Computing 8 (2), 906-918, 2008
A note on uniform distribution and experimental design
王元, 方开泰
科学通报: 英文版, 485-489, 1981
Quasi-oppositional differential evolution
S Rahnamayan, HR Tizhoosh, MMA Salama
2007 IEEE congress on evolutionary computation, 2229-2236, 2007
Gaussian bare-bones differential evolution
H Wang, S Rahnamayan, H Sun, MGH Omran
IEEE Transactions on Cybernetics 43 (2), 634-647, 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
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
Opposition-based differential evolution algorithms
S Rahnamayan, HR Tizhoosh, MMA Salama
2006 IEEE International Conference on Evolutionary Computation, 2010-2017, 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
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
Layout optimization of satellite module using soft computing techniques
B Zhang, HF Teng, YJ Shi
Applied Soft Computing 8 (1), 507-521, 2008
Opposition based learning: A literature review
S Mahdavi, S Rahnamayan, K Deb
Swarm and evolutionary computation 39, 1-23, 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
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
International scientific collaboration of China: Collaborating countries, institutions and individuals
X Wang, S Xu, Z Wang, L Peng, C Wang
Scientometrics 95 (3), 885-894, 2013
Solving large scale optimization problems by opposition-based differential evolution (ODE)
S Rahnamayan, GG Wang
WSEAS Transactions on Computers 7 (10), 1792-1804, 2008
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