| Differential evolution with dynamic parameters selection for optimization problems RA Sarker, SM Elsayed, T Ray IEEE Transactions on Evolutionary Computation 18 (5), 689-707, 2013 | 289 | 2013 |
| Improved multi-operator differential evolution algorithm for solving unconstrained problems KM Sallam, SM Elsayed, RK Chakrabortty, MJ Ryan 2020 IEEE congress on evolutionary computation (CEC), 1-8, 2020 | 239 | 2020 |
| A new genetic algorithm for solving optimization problems SM Elsayed, RA Sarker, DL Essam Engineering Applications of Artificial Intelligence 27, 57-69, 2014 | 223 | 2014 |
| Multi-operator based evolutionary algorithms for solving constrained optimization problems SM Elsayed, RA Sarker, DL Essam Computers & operations research 38 (12), 1877-1896, 2011 | 213 | 2011 |
| An improved self-adaptive differential evolution algorithm for optimization problems S Elsayed, R Saker, D Essam IEEE Transactions on Industrial Informatics 9 (1), 89 - 99, 2013 | 180 | 2013 |
| Evolutionary algorithms for dynamic economic dispatch problems MF Zaman, SM Elsayed, T Ray, RA Sarker IEEE Transactions on Power Systems 31 (2), 1486-1495, 2015 | 172 | 2015 |
| GA with a new multi-parent crossover for solving IEEE-CEC2011 competition problems SM Elsayed, RA Sarker, DL Essam 2011 IEEE congress of evolutionary computation (CEC), 1034-1040, 2011 | 168 | 2011 |
| Differential evolution with multiple strategies for solving CEC2011 real-world numerical optimization problems SM Elsayed, RA Sarker, DL Essam 2011 IEEE Congress of Evolutionary Computation (CEC), 1041-1048, 2011 | 113 | 2011 |
| Consolidated optimization algorithm for resource-constrained project scheduling problems S Elsayed, R Sarker, T Ray, CC Coello Information Sciences 418, 346-362, 2017 | 99 | 2017 |
| Landscape-based adaptive operator selection mechanism for differential evolution KM Sallam, SM Elsayed, RA Sarker, DL Essam Information Sciences 418, 383-404, 2017 | 84 | 2017 |
| Testing united multi-operator evolutionary algorithms on the CEC2014 real-parameter numerical optimization SM Elsayed, RA Sarker, DL Essam, NM Hamza 2014 IEEE congress on evolutionary computation (CEC), 1650-1657, 2014 | 78 | 2014 |
| Configuring two-algorithm-based evolutionary approach for solving dynamic economic dispatch problems F Zaman, SM Elsayed, T Ray, RA Sarker Engineering Applications of Artificial Intelligence 53, 105-125, 2016 | 73 | 2016 |
| A self-adaptive combined strategies algorithm for constrained optimization using differential evolution SM Elsayed, RA Sarker, DL Essam Applied Mathematics and Computation 241, 267-282, 2014 | 67 | 2014 |
| Testing united multi-operator evolutionary algorithms-II on single objective optimization problems S Elsayed, N Hamza, R Sarker 2016 IEEE congress on evolutionary computation (CEC), 2966-2973, 2016 | 66 | 2016 |
| Self-adaptive mix of particle swarm methodologies for constrained optimization SM Elsayed, RA Sarker, E Mezura-Montes Information sciences 277, 216-233, 2014 | 66 | 2014 |
| A genetic algorithm for solving the CEC'2013 competition problems on real-parameter optimization SM Elsayed, RA Sarker, DL Essam 2013 IEEE Congress on evolutionary computation, 356-360, 2013 | 61 | 2013 |
| On an Evolutionary Approach for Constrained Optimization Problem Solving SM Elsayed, RA Sarker, DL Essam Applied Soft Computing 12 (10), 3208–3227, 2012 | 59 | 2012 |
| Adaptive sorting-based evolutionary algorithm for many-objective optimization C Liu, Q Zhao, B Yan, S Elsayed, T Ray, R Sarker IEEE Transactions on Evolutionary Computation 23 (2), 247-257, 2018 | 55 | 2018 |
| Neurodynamic differential evolution algorithm and solving CEC2015 competition problems KM Sallam, RA Sarker, DL Essam, SM Elsayed 2015 IEEE Congress on Evolutionary Computation (CEC), 1033-1040, 2015 | 54 | 2015 |
| Differential evolution framework for big data optimization S Elsayed, R Sarker Memetic Computing 8, 17-33, 2016 | 53 | 2016 |
Ruhul SarkerProfessor, University of New South Wales - Australia, Canberra在 adfa.edu.au 的电子邮件经过验证
