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Saber Elsayed
Saber Elsayed
Senior Lecturer, Computer Science
Dirección de correo verificada de unsw.edu.au - Página principal
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Citado por
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Año
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
2812013
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
2202020
A new genetic algorithm for solving optimization problems
SM Elsayed, RA Sarker, DL Essam
Engineering Applications of Artificial Intelligence 27, 57-69, 2014
2202014
Multi-operator based evolutionary algorithms for solving constrained optimization problems
SM Elsayed, RA Sarker, DL Essam
Computers & operations research 38 (12), 1877-1896, 2011
2082011
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
1802013
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
1692015
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
1652011
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
1102011
Consolidated optimization algorithm for resource-constrained project scheduling problems
S Elsayed, R Sarker, T Ray, CC Coello
Information Sciences 418, 346-362, 2017
922017
Landscape-based adaptive operator selection mechanism for differential evolution
KM Sallam, SM Elsayed, RA Sarker, DL Essam
Information Sciences 418, 383-404, 2017
832017
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
782014
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
742016
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
662014
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
652016
Self-adaptive mix of particle swarm methodologies for constrained optimization
SM Elsayed, RA Sarker, E Mezura-Montes
Information sciences 277, 216-233, 2014
652014
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
602013
On an Evolutionary Approach for Constrained Optimization Problem Solving
SM Elsayed, RA Sarker, DL Essam
Applied Soft Computing 12 (10), 3208–3227, 2012
592012
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
542015
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
522018
Differential evolution framework for big data optimization
S Elsayed, R Sarker
Memetic Computing 8, 17-33, 2016
512016
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