| 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 |
| Constraint consensus mutation-based differential evolution for constrained optimization NM Hamza, DL Essam, RA Sarker IEEE Transactions on Evolutionary Computation 20 (3), 447-459, 2015 | 67 | 2015 |
| 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 | 65 | 2016 |
| A constraint consensus memetic algorithm for solving constrained optimization problems NM Hamza, RA Sarker, DL Essam, K Deb, SM Elsayed Engineering Optimization 46 (11), 1447-1464, 2014 | 17 | 2014 |
| Differential evolution combined with constraint consensus for constrained optimization NM Hamza, SM Elsayed, DL Essam, RA Sarker 2011 IEEE Congress of evolutionary computation (CEC), 865-872, 2011 | 17 | 2011 |
| Differential evolution with multi-constraint consensus methods for constrained optimization NM Hamza, RA Sarker, DL Essam Journal of Global Optimization 57, 583-611, 2013 | 14 | 2013 |
| Differential evolution with a mix of Constraint Consenus methods for solving a real-world Optimization Problem NM Hamza, RA Sarker, DL Essam 2012 IEEE Congress on Evolutionary Computation, 1-7, 2012 | 11 | 2012 |
| Sensitivity-based change detection for dynamic constrained optimization N Hamza, R Sarker, D Essam IEEE Access 8, 103900-103912, 2020 | 5 | 2020 |
| Evolutionary search from the interior of feasible space N Hamza, R Sarker, D Essam 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 353-359, 2020 | 3 | 2020 |
| Enhancing evolutionary algorithms by efficient population initialization for constrained problems S Elsayed, R Sarker, N Hamza, CAC Coello, E Mezura-Montes 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 3 | 2020 |
| Evolutionary constrained optimization with dynamic changes and uncertainty in the objective function N Hamza, S Elsayed, R Sarker, D Essam 2022 14th International Conference on Software, Knowledge, Information …, 2022 | 2 | 2022 |
| Exploring the feasible space using constraint consensus in solving constrained optimization problems NM Hamza, DL Essam, RA Sarker Artificial Life and Computational Intelligence: Second Australasian …, 2016 | 2 | 2016 |
| Differential evolution with a constraint consensus mutation for solving optimization problems NM Hamza, DL Essam, RA Sarker 2014 IEEE Congress on Evolutionary Computation (CEC), 991-997, 2014 | 2 | 2014 |
| Evolutionary approach for dynamic constrained optimization problems N Hamza, R Sarker, D Essam, S Elsayed Alexandria Engineering Journal 66, 827-843, 2023 | 1 | 2023 |
| Hybridizing constraint consensus methods with evolutionary algorithms for constrained optimization N Hamza UNSW Sydney, 2012 | 1 | 2012 |
| Solving constrained problems with dynamic objective functions N Hamza, S Elsayed, R Sarker, D Essam 2022 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2022 | | 2022 |
| Search Techniques for Evolutionary Constrained Optimization N Hamza UNSW Sydney, 2016 | | 2016 |
| Memetic Differential Evolution combined with Constraint Consensus method for solving COPs NM Hamza, RA Sarker, DL Essam The 2011 International Conference on Computer Engineering & Systems, 116-120, 2011 | | 2011 |
| Mathematical Modeling and Theory D Patterson, D Della-Bosca, JL Pfaltz, AMFM AbdAllah, DL Essam, ... | | |
Ruhul SarkerProfessor, University of New South Wales - Australia, CanberraVerified email at adfa.edu.au
