Shahryar Rahnamayan, PhD, PEng, SMIEEE

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H.R. TizhooshKIMIA Lab, Mayo ClinicVerified email at mayo.edu
Hui WangNanchang Institute of TechnologyVerified email at whu.edu.cn
Magdy M. A. SalamaUniversity of WaterlooVerified email at uwaterloo.ca
Azam Asilian BidgoliAssistant Professor, Wilfrid Laurier University, CanadaVerified email at wlu.ca
Sedigheh MahdaviPost-Doctoral Fellow,York UniversityVerified email at uoit.ca
Kalyanmoy DebUniversity Distinguished Professor, Electrical and Computer Engineering, Michigan State UniversityVerified email at egr.msu.edu
Hojjat SalehinejadMayo Clinic | University of TorontoVerified email at mayo.edu
Mario VentrescaAssociate Professor, Purdue UniversityVerified email at purdue.edu
G. Gary WangSimon Fraser UniversityVerified email at sfu.ca
Miguel Vargas MartinProfessor, Ontario Tech UniversityVerified email at ontariotechu.ca
Mohammad Ebrahim ShiriAssistant Professor Computer Science Amirkabir University Of TechnologyVerified email at aut.ac.ir
Farid BourennaniOntario Tech UniversityVerified email at uoit.ca
Greg F. NatererVice-President, Academic and Research, University of Prince Edward Island, CanadaVerified email at upei.ca
Taher DehkharghanianDiagnostic Radiology Resident, University of TorontoVerified email at mail.utoronto.ca
Shivam KalraRoche Diagnostics SolutionsVerified email at uwaterloo.ca
Yong LiuThe University of AizuVerified email at u-aizu.ac.jp
Masoud MakrehchiOntario Tech University (UOIT)Verified email at ontariotechu.ca
Changhe LiChina University of Geosciences (Wuhan)Verified email at cug.edu.cn
Jeng-Shyang Pan (潘正祥)Nanjing University of Information Science & Technology/Shandong University of Science and TechnologyVerified email at ieee.org
Abtin RiasatianUniversity of Waterloo (former researcher)Verified email at uwaterloo.ca

Shahryar Rahnamayan, PhD, PEng, SMIEEE

Professor and Chair, Engineering Department, Brock University, Canada

Verified email at brocku.ca - Homepage

Evolutionary Computation Machine Learning Artificial Intelligence Large-scale Optimization Multi-objective Optimization


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Opposition-based differential evolution S Rahnamayan, HR Tizhoosh, MMA Salama IEEE Transactions on Evolutionary computation 12 (1), 64-79, 2008	1965	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	565	2011
Metaheuristics in large-scale global continues optimization: A survey S Mahdavi, ME Shiri, S Rahnamayan Information Sciences 295, 407-428, 2015	507	2015
Diversity enhanced particle swarm optimization with neighborhood search H Wang, H Sun, C Li, S Rahnamayan, J Pan Information Sciences 223, 119-135, 2013	494	2013
Quasi-oppositional differential evolution S Rahnamayan, HR Tizhoosh, MMA Salama 2007 IEEE congress on evolutionary computation, 2229-2236, 2007	464	2007
A novel population initialization method for accelerating evolutionary algorithms S Rahnamayan, HR Tizhoosh, MMA Salama Computers & Mathematics with Applications 53 (10), 1605-1614, 2007	456	2007
Opposition versus randomness in soft computing techniques S Rahnamayan, HR Tizhoosh, MMA Salama Applied Soft Computing 8 (2), 906-918, 2008	407	2008
Opposition based learning: A literature review S Mahdavi, S Rahnamayan, K Deb Swarm and evolutionary computation 39, 1-23, 2018	382	2018
A note on uniform distribution and experimental design 王元，方开泰科学通报: 英文版, 485-489, 1981	382	1981
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	310	2014
Gaussian bare-bones differential evolution H Wang, S Rahnamayan, H Sun, MGH Omran IEEE Transactions on Cybernetics 43 (2), 634-647, 2013	305	2013
Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems H Wang, Z Wu, S Rahnamayan Soft Computing 15, 2127-2140, 2011	252	2011
Opposition-based differential evolution algorithms S Rahnamayan, HR Tizhoosh, MMA Salama 2006 IEEE international conference on evolutionary computation, 2010-2017, 2006	249	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	205	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	152	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	132	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	123	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	95	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	95	2016
Gaussian bare-bones artificial bee colony algorithm X Zhou, Z Wu, H Wang, S Rahnamayan Soft Computing 20, 907-924, 2016	90	2016

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