| Metaheuristics in large-scale global continues optimization: A survey S Mahdavi, ME Shiri, S Rahnamayan Information Sciences 295, 407-428, 2015 | 493 | 2015 |
| Opposition based learning: A literature review S Mahdavi, S Rahnamayan, K Deb Swarm and evolutionary computation 39, 1-23, 2018 | 368 | 2018 |
| dynnode2vec: Scalable dynamic network embedding S Mahdavi, S Khoshraftar, A An 2018 IEEE international conference on big data (Big Data), 3762-3765, 2018 | 129 | 2018 |
| Cooperative co-evolution with a new decomposition method for large-scale optimization S Mahdavi, ME Shiri, S Rahnamayan 2014 IEEE Congress on Evolutionary Computation (CEC), 1285-1292, 2014 | 50 | 2014 |
| Multilevel framework for large-scale global optimization S Mahdavi, S Rahnamayan, ME Shiri Soft Computing 21, 4111-4140, 2017 | 42 | 2017 |
| Center-based initialization of cooperative co-evolutionary algorithm for large-scale optimization S Mahdavi, S Rahnamayan, K Deb 2016 IEEE Congress on Evolutionary Computation (CEC), 3557-3565, 2016 | 33 | 2016 |
| Dynamic joint variational graph autoencoders S Mahdavi, S Khoshraftar, A An Machine Learning And Knowledge Discovery In Databases: International …, 2020 | 25 | 2020 |
| Cooperative co-evolution with sensitivity analysis-based budget assignment strategy for large-scale global optimization S Mahdavi, S Rahnamayan, ME Shiri Applied Intelligence 47, 888-913, 2017 | 25 | 2017 |
| Differential evolution with center-based mutation for large-scale optimization H Hiba, S Mahdavi, S Rahnamayan 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 22 | 2017 |
| Incremental cooperative coevolution for large-scale global optimization S Mahdavi, S Rahnamayan, ME Shiri Soft Computing 22, 2045-2064, 2018 | 21 | 2018 |
| Dynamic graph embedding via lstm history tracking S Khoshraftar, S Mahdavi, A An, Y Hu, J Liu 2019 IEEE international conference on data science and advanced analytics …, 2019 | 20 | 2019 |
| Majority voting for discrete population-based optimization algorithms S Mahdavi, S Rahnamayan, A Mahdavi Soft Computing 23, 1-18, 2019 | 13 | 2019 |
| Gde4: The generalized differential evolution with ordered mutation A Asilian Bidgoli, S Mahdavi, S Rahnamayan, H Ebrahimpour-Komleh International conference on evolutionary multi-criterion optimization, 101-113, 2019 | 12 | 2019 |
| Computational structure analysis of biomacromolecule complexes by interface geometry S Mahdavi, A Salehzadeh-Yazdi, A Mohades, A Masoudi-Nejad Computational Biology and Chemistry 47, 16-23, 2013 | 9 | 2013 |
| Ranking multi-metric scientific achievements using a concept of pareto optimality S Rahnamayan, S Mahdavi, K Deb, A Asilian Bidgoli Mathematics 8 (6), 956, 2020 | 6 | 2020 |
| Analyzing effects of ordering vectors in mutation schemes on performance of differential evolution S Mahdavi, S Rahnamayan, C Karia 2017 IEEE Congress on Evolutionary Computation (CEC), 2290-2298, 2017 | 6 | 2017 |
| Computational analysis of RNA–protein interaction interfaces via the Voronoi diagram S Mahdavi, A Mohades, AS Yazdi, S Jahandideh, A Masoudi-Nejad Journal of theoretical biology 293, 55-64, 2012 | 6 | 2012 |
| A novel pareto-vikor index for ranking scientists’ publication impacts: a case study on evolutionary computation researchers AA Bidgoli, S Rahnamayan, S Mahdavi, K Deb 2019 IEEE Congress on Evolutionary Computation (CEC), 2458-2465, 2019 | 5 | 2019 |
| Differential evolution with self-adaptive mutation scaling factor H Hiba, S Mahdavi, S Rahnamayan 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 5 | 2017 |
| Partial opposition-based learning using current best candidate solution S Mahdavi, S Rahnamayan, K Deb 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2016 | 5 | 2016 |
Shahryar Rahnamayan, PhD, PEng, S...Professor and Chair, Engineering Department, Brock University, CanadaVerified email at brocku.ca
