| PDE: a Pareto-frontier differential evolution approach for multi-objective optimization problems HA Abbass, R Sarker, C Newton Proceedings of the 2001 congress on evolutionary computation (IEEE Cat. No …, 2001 | 733 | 2001 |
| A decomposition-based evolutionary algorithm for many objective optimization M Asafuddoula, T Ray, R Sarker IEEE Transactions on Evolutionary Computation 19 (3), 445-460, 2014 | 324 | 2014 |
| The Pareto differential evolution algorithm HA Abbass, R Sarker International Journal on Artificial Intelligence Tools 11 (04), 531-552, 2002 | 240 | 2002 |
| 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 | 238 | 2013 |
| Evolutionary optimization R Sarker, M Mohammadian, X Yao Springer Science & Business Media, 2002 | 218 | 2002 |
| Optimization of maintenance and spare provisioning policy using simulation R Sarker, A Haque Applied Mathematical Modelling 24 (10), 751-760, 2000 | 214 | 2000 |
| A new genetic algorithm for solving optimization problems SM Elsayed, RA Sarker, DL Essam Engineering Applications of Artificial Intelligence 27, 57-69, 2014 | 193 | 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 | 190 | 2011 |
| Optimization modelling: a practical approach RA Sarker, CS Newton CRC press, 2007 | 186 | 2007 |
| An improved evolutionary algorithm for solving multi-objective crop planning models R Sarker, T Ray Computers and electronics in agriculture 68 (2), 191-199, 2009 | 171 | 2009 |
| Forecasting of currency exchange rates using ANN: A case study J Kamruzzaman, RA Sarker International Conference on Neural Networks and Signal Processing, 2003 …, 2003 | 169 | 2003 |
| An improved self-adaptive differential evolution algorithm for optimization problems SM Elsayed, RA Sarker, DL Essam IEEE Transactions on Industrial Informatics 9 (1), 89-99, 2012 | 163 | 2012 |
| Memetic algorithms for solving job-shop scheduling problems SM Hasan, R Sarker, D Essam, D Cornforth Memetic Computing 1 (1), 69-83, 2009 | 160 | 2009 |
| Artificial neural networks in finance and manufacturing J Kamruzzaman, R Begg, R Sarker IGI Global, 2006 | 159 | 2006 |
| Data Mining: A Heuristic Approach: A Heuristic Approach HA Abbass, R Sarker, CS Newton IGI global, 2001 | 145 | 2001 |
| 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 | 143 | 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 | 142 | 2011 |
| A new multiobjective evolutionary algorithm R Sarker, KH Liang, C Newton European Journal of Operational Research 140 (1), 12-23, 2002 | 137 | 2002 |
| A recovery model for a two-echelon serial supply chain with consideration of transportation disruption H Hishamuddin, RA Sarker, D Essam Computers & Industrial Engineering 64 (2), 552-561, 2013 | 132 | 2013 |
| An optimal batch size for a production system operating under periodic delivery policy RA Sarker, LR Khan Computers & Industrial Engineering 37 (4), 711-730, 1999 | 113 | 1999 |
James M WhitacreParadynVerified email at paradynsystems.com
