| Cooperative co-evolution with differential grouping for large scale optimization MN Omidvar, X Li, Y Mei, X Yao Evolutionary Computation, IEEE Transactions on 18 (3), 378-393, 2014 | 768 | 2014 |
| Benchmark functions for the CEC 2013 special session and competition on large-scale global optimization X Li, K Tang, MN Omidvar, Z Yang, K Qin, H China gene 7 (33), 8, 2013 | 534 | 2013 |
| DG2: A faster and more accurate differential grouping for large-scale black-box optimization MN Omidvar, M Yang, Y Mei, X Li, X Yao IEEE Transactions on evolutionary computation 21 (6), 929-942, 2017 | 339 | 2017 |
| Cooperative co-evolution with delta grouping for large scale non-separable function optimization MN Omidvar, X Li, X Yao IEEE congress on evolutionary computation, 1-8, 2010 | 307 | 2010 |
| A competitive divide-and-conquer algorithm for unconstrained large-scale black-box optimization Y Mei, MN Omidvar, X Li, X Yao ACM Transactions on Mathematical Software (TOMS) 42 (2), 1-24, 2016 | 262 | 2016 |
| Cooperative co-evolution for large scale optimization through more frequent random grouping MN Omidvar, X Li, Z Yang, X Yao IEEE Congress on Evolutionary Computation, 1-8, 2010 | 249 | 2010 |
| Designing benchmark problems for large-scale continuous optimization MN Omidvar, X Li, K Tang Information Sciences 316, 419-436, 2015 | 146 | 2015 |
| Smart use of computational resources based on contribution for cooperative co-evolutionary algorithms MN Omidvar, X Li, X Yao Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 131 | 2011 |
| Efficient resource allocation in cooperative co-evolution for large-scale global optimization M Yang, MN Omidvar, C Li, X Li, Z Cai, B Kazimipour, X Yao IEEE Transactions on Evolutionary Computation 21 (4), 493-505, 2016 | 118 | 2016 |
| A review of population-based metaheuristics for large-scale black-box global optimization: Part A M Omidvar, X Li, X Yao IEEE Transactions on Evolutionary Computation, 2021 | 111 | 2021 |
| Decomposition for large-scale optimization problems with overlapping components Y Sun, X Li, A Ernst, MN Omidvar 2019 IEEE congress on evolutionary computation (CEC), 326-333, 2019 | 95 | 2019 |
| A new performance metric for user-preference based multi-objective evolutionary algorithms A Mohammadi, MN Omidvar, X Li 2013 IEEE congress on evolutionary computation, 2825-2832, 2013 | 90 | 2013 |
| Scaling up dynamic optimization problems: A divide-and-conquer approach D Yazdani, MN Omidvar, J Branke, TT Nguyen, X Yao IEEE Transactions on Evolutionary Computation 24 (1), 1-15, 2019 | 80 | 2019 |
| CBCC3—A contribution-based cooperative co-evolutionary algorithm with improved exploration/exploitation balance MN Omidvar, B Kazimipour, X Li, X Yao 2016 IEEE congress on evolutionary computation (CEC), 3541-3548, 2016 | 79 | 2016 |
| Effective decomposition of large-scale separable continuous functions for cooperative co-evolutionary algorithms MN Omidvar, Y Mei, X Li 2014 IEEE congress on evolutionary computation (CEC), 1305-1312, 2014 | 77 | 2014 |
| Reference point based multi-objective optimization through decomposition A Mohammadi, MN Omidvar, X Li 2012 IEEE congress on evolutionary computation, 1-8, 2012 | 77 | 2012 |
| Adaptive threshold parameter estimation with recursive differential grouping for problem decomposition Y Sun, MN Omidvar, M Kirley, X Li Proceedings of the genetic and evolutionary computation conference, 889-896, 2018 | 71 | 2018 |
| A review of population-based metaheuristics for large-scale black-box global optimization: Part B M Omidvar, X Li, X Yao IEEE Transactions on Evolutionary Computation, 2021 | 68 | 2021 |
| Integrating user preferences and decomposition methods for many-objective optimization A Mohammadi, MN Omidvar, X Li, K Deb 2014 IEEE Congress on Evolutionary Computation (CEC), 421-428, 2014 | 59 | 2014 |
| A comparative study of CMA-ES on large scale global optimisation MN Omidvar, X Li Australasian Joint Conference on Artificial Intelligence, 303-312, 2010 | 54 | 2010 |
