By Dr Saber Mohamed Elsayed Elsayed

Journal articles

Li K; Elsayed S; Sarker R; Essam D, 2024, 'Multiple landscape measure-based approach for dynamic optimization problems', Swarm and Evolutionary Computation, 88, pp. 101578 - 101578, http://dx.doi.org/10.1016/j.swevo.2024.101578

Liu J; Sarker R; Elsayed S; Essam D; Siswanto N, 2024, 'Large-scale evolutionary optimization: A review and comparative study', Swarm and Evolutionary Computation, 85, http://dx.doi.org/10.1016/j.swevo.2023.101466

Mara STW; Sarker R; Essam D; Elsayed S, 2024, 'An Adaptive Memetic Algorithm for a Cost-Optimal Electric Vehicle-Drone Routing Problem', IEEE Transactions on Intelligent Transportation Systems, http://dx.doi.org/10.1109/TITS.2024.3467219

Ahrari A; Elsayed S; Sarker R; Essam D; Coello Coello CA, 2023, 'Revisiting Implicit and Explicit Averaging for Noisy Optimization', IEEE Transactions on Evolutionary Computation, 27, pp. 1250 - 1259, http://dx.doi.org/10.1109/TEVC.2022.3201090

Mohamed RE; Hunjet R; Elsayed S; Abbass H, 2023, 'Connectivity-Aware Particle Swarm Optimisation for Swarm Shepherding', IEEE Transactions on Emerging Topics in Computational Intelligence, 7, pp. 661 - 683, http://dx.doi.org/10.1109/TETCI.2022.3195178

Mara STW; Sarker R; Essam D; Elsayed S, 2023, 'Solving electric vehicle–drone routing problem using memetic algorithm', Swarm and Evolutionary Computation, 79, http://dx.doi.org/10.1016/j.swevo.2023.101295

Hamza N; Sarker R; Essam D; Elsayed S, 2023, 'Evolutionary approach for dynamic constrained optimization problems', Alexandria Engineering Journal, 66, pp. 827 - 843, http://dx.doi.org/10.1016/j.aej.2022.10.072

Meselhi MA; Elsayed SM; Essam DL; Sarker RA, 2023, 'Modified Differential Evolution Algorithm for Solving Dynamic Optimization with Existence of Infeasible Environments', Computers, Materials and Continua, 74, http://dx.doi.org/10.32604/cmc.2023.027448

Zaman F; Elsayed S; Sarker R; Essam D; Coello CAC, 2022, 'Pro-Reactive Approach for Project Scheduling Under Unpredictable Disruptions', IEEE Transactions on Cybernetics, 52, pp. 11299 - 11312, http://dx.doi.org/10.1109/TCYB.2021.3097312

Harrison KR; Elsayed SM; Garanovich IL; Weir T; Boswell SG; Sarker RA, 2022, 'Generating datasets for the project portfolio selection and scheduling problem', Data in Brief, 42, http://dx.doi.org/10.1016/j.dib.2022.108208

Harrison KR; Elsayed SM; Weir T; Garanovich IL; Boswell SG; Sarker RA, 2022, 'Solving a novel multi-divisional project portfolio selection and scheduling problem', Engineering Applications of Artificial Intelligence, 112, pp. 104771, http://dx.doi.org/10.1016/j.engappai.2022.104771

Ahrari A; Elsayed S; Sarker R; Essam D; Coello CAC, 2022, 'Static and Dynamic Multimodal Optimization by Improved Covariance Matrix Self-Adaptation Evolution Strategy with Repelling Subpopulations', IEEE Transactions on Evolutionary Computation, 26, pp. 527 - 541, http://dx.doi.org/10.1109/TEVC.2021.3117116

Meselhi M; Sarker R; Essam D; Elsayed S, 2022, 'A decomposition approach for large-scale non-separable optimization problems', Applied Soft Computing, 115, http://dx.doi.org/10.1016/j.asoc.2021.108168

Ahrari A; Elsayed S; Sarker R; Essam D; Coello CAC, 2022, 'PyDDRBG: A Python framework for benchmarking and evaluating static and dynamic multimodal optimization methods', SoftwareX, 17, pp. 100961, http://dx.doi.org/10.1016/j.softx.2021.100961

Ahrari A; Elsayed S; Sarker R; Essam D; Coello CAC, 2021, 'A Novel Parametric benchmark generator for dynamic multimodal optimization', Swarm and Evolutionary Computation, 65, pp. 100924, http://dx.doi.org/10.1016/j.swevo.2021.100924

Harrison KR; Elsayed S; Garanovich IL; Weir T; Galister M; Boswell S; Taylor R; Sarker R, 2021, 'A Hybrid Multi-Population Approach to the Project Portfolio Selection and Scheduling Problem for Future Force Design', IEEE Access, 9, pp. 83410 - 83430, http://dx.doi.org/10.1109/ACCESS.2021.3086070

Ahrari A; Elsayed S; Sarker R; Essam D; Coello Coello CA, 2021, 'Adaptive Multilevel Prediction Method for Dynamic Multimodal Optimization', IEEE Transactions on Evolutionary Computation, 25, pp. 463 - 477, http://dx.doi.org/10.1109/TEVC.2021.3051172

Ahrari A; Elsayed S; Sarker R; Essam D; Coello CAC, 2021, 'A heredity-based adaptive variation operator for reinitialization in dynamic multi-objective problems', Applied Soft Computing, 101, pp. 107027, http://dx.doi.org/10.1016/j.asoc.2020.107027

Saad H; Chakrabortty R; Elsayed S; Ryan M, 2021, 'Quantum-Inspired Genetic Algorithm for Resource-Constrained Project-Scheduling', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2021.3062790

Ahrari A; Elsayed S; Sarker R; Essam D; Coello Coello CA, 2021, 'Weighted pointwise prediction method for dynamic multiobjective optimization', Information Sciences, 546, pp. 349 - 367, http://dx.doi.org/10.1016/j.ins.2020.08.015

Elfeky EZ; Elsayed S; Marsh L; Essam D; Cochrane M; Sims B; Sarker R, 2021, 'A Systematic Review of Coevolution in Real-Time Strategy Games', IEEE Access, 9, pp. 136647 - 136665, http://dx.doi.org/10.1109/ACCESS.2021.3115768

Zaman F; Elsayed S; Sarker R; Essam D; Coello Coello CA, 2021, 'An evolutionary approach for resource constrained project scheduling with uncertain changes', Computers and Operations Research, 125, pp. 105104, http://dx.doi.org/10.1016/j.cor.2020.105104

Sallam KM; Elsayed SM; Sarker RA; Essam DL, 2020, 'Landscape-assisted multi-operator differential evolution for solving constrained optimization problems', Expert Systems with Applications, 162, http://dx.doi.org/10.1016/j.eswa.2019.113033

Sallam K; Elsayed S; Chakrabortty R; Ryan M, 2020, 'Evolutionary Framework with Reinforcement Learning-based Mutation Adaptation', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2020.3033593

Zaman F; Elsayed S; Sarker R; Essam D, 2020, 'Hybrid evolutionary algorithm for large-scale project scheduling problems', Computers and Industrial Engineering, 146, pp. 106567, http://dx.doi.org/10.1016/j.cie.2020.106567

Elsayed S; Sarker R; Essam D; Coello Coello CA, 2020, 'Evolutionary approach for large-Scale mine scheduling', Information Sciences, 523, pp. 77 - 90, http://dx.doi.org/10.1016/j.ins.2020.02.074

Meselhi MA; Elsayed SM; Sarker RA; Essam DL, 2020, 'Contribution based co-evolutionary algorithm for large-scale optimization problems', IEEE Access, 8, pp. 203369 - 203381, http://dx.doi.org/10.1109/ACCESS.2020.3036438

Li K; Elsayed SM; Sarker R; Essam D, 2020, 'Landscape-based similarity check strategy for dynamic optimization problems', IEEE Access, 8, pp. 178570 - 178586, http://dx.doi.org/10.1109/ACCESS.2020.3026339

Harrison KR; Elsayed S; Garanovich I; Weir T; Galister M; Boswell S; Taylor R; Sarker R, 2020, 'Portfolio Optimization for Defence Applications', IEEE Access, 8, pp. 60152 - 60178, http://dx.doi.org/10.1109/ACCESS.2020.2983141

Zaman F; Elsayed SM; Sarker RA; Essam D, 2020, 'Resource Constrained Project Scheduling with Dynamic Disruption Recovery', IEEE Access, 8, pp. 144866 - 144879, http://dx.doi.org/10.1109/ACCESS.2020.3014940

El-Fiqi H; Campbell B; Elsayed S; Perry A; Singh HK; Hunjet R; Abbass HA, 2020, 'The Limits of Reactive Shepherding Approaches for Swarm Guidance', IEEE Access, 8, pp. 214658 - 214671, http://dx.doi.org/10.1109/ACCESS.2020.3037325

Liu C; Zhao Q; Yan B; Elsayed S; Sarker R, 2019, 'Transfer learning-assisted multi-objective evolutionary clustering framework with decomposition for high-dimensional data', Information Sciences, 505, pp. 440 - 456, http://dx.doi.org/10.1016/j.ins.2019.07.099

Zaman F; Elsayed S; Sarker R; Essam D; Coello CAC; Coello Coello C, 2019, 'Multi-Method based algorithm for multi-objective problems under uncertainty', Information Sciences, 481, pp. 81 - 109, http://dx.doi.org/10.1016/j.ins.2018.12.072

Liu C; Zhao Q; Yan B; Elsayed S; Ray T; Sarker R, 2019, 'Adaptive Sorting-Based Evolutionary Algorithm for Many-Objective Optimization', IEEE Transactions on Evolutionary Computation, 23, pp. 247 - 257, http://dx.doi.org/10.1109/TEVC.2018.2848254

Fernandez-Rojas R; Perry A; Singh H; Campbell B; Elsayed S; Hunjet R; Abbass HA, 2019, 'Contextual Awareness in Human-Advanced-Vehicle Systems: A Survey', IEEE Access, 7, pp. 33304 - 33328, http://dx.doi.org/10.1109/ACCESS.2019.2902812

Elsayed S; Sarker R; Coello CC; Ray T; Coello Coello C, 2018, 'Adaptation of operators and continuous control parameters in differential evolution for constrained optimization', Soft Computing, 22, pp. 6595 - 6616, http://dx.doi.org/10.1007/s00500-017-2712-6

Zaman F; Elsayed SM; Ray T; Sarker RA, 2018, 'Evolutionary Algorithms for Finding Nash Equilibria in Electricity Markets', IEEE Transactions on Evolutionary Computation, 22, pp. 536 - 549, http://dx.doi.org/10.1109/TEVC.2017.2742502

Elsayed S; Sarker R; Ray T; Coello CC; Coello Coello C, 2017, 'Consolidated optimization algorithm for resource-constrained project scheduling problems', Information Sciences, 418-419, pp. 346 - 362, http://dx.doi.org/10.1016/j.ins.2017.08.023

Sallam KM; Elsayed SM; Sarker RA; Essam DL, 2017, 'Landscape-based adaptive operator selection mechanism for differential evolution', Information Sciences, 418-419, pp. 383 - 404, http://dx.doi.org/10.1016/j.ins.2017.08.028

Elsayed S; Sarker R; Coello Coello CA, 2017, 'Fuzzy Rule-Based Design of Evolutionary Algorithm for Optimization', IEEE Transactions on Cybernetics, 49, pp. 301 - 314, http://dx.doi.org/10.1109/TCYB.2017.2772849

Elsayed S; Sarker R; Coello Coello CA, 2017, 'Sequence-Based Deterministic Initialization for Evolutionary Algorithms', IEEE Transactions on Cybernetics, 47, pp. 2911 - 2923, http://dx.doi.org/10.1109/TCYB.2016.2630722

Shafi K; Elsayed S; Sarker R; Ryan M, 2017, 'Scenario-based multi-period program optimization for capability-based planning using evolutionary algorithms', Applied Soft Computing Journal, 56, pp. 717 - 729, http://dx.doi.org/10.1016/j.asoc.2016.07.009

Zaman F; Elsayed SM; Ray T; Sarker RA, 2017, 'Co-evolutionary approach for strategic bidding in competitive electricity markets', Applied Soft Computing Journal, 51, pp. 1 - 22, http://dx.doi.org/10.1016/j.asoc.2016.11.049

Zaman F; Elsayed SM; Ray T; Sarker RA, 2016, 'Evolutionary algorithms for power generation planning with uncertain renewable energy', Energy, 112, pp. 408 - 419, http://dx.doi.org/10.1016/j.energy.2016.06.083

Zaman MF; Elsayed ; Ray ; Sarker , 2016, 'Configuring two-algorithm-based evolutionary approach for solving dynamic economic dispatch problems', Engineering Applications of Artificial Intelligence, 53, pp. 105 - 125, http://dx.doi.org/10.1016/j.engappai.2016.04.001

Elsayed S; Sarker R, 2016, 'Differential evolution framework for big data optimization', Memetic Computing, 8, pp. 17 - 33, http://dx.doi.org/10.1007/s12293-015-0174-x

Zaman MF; Elsayed SM; Ray T; Sarker RA, 2016, 'Evolutionary Algorithms for Dynamic Economic Dispatch Problems', IEEE Transactions on Power Systems, 31, pp. 1486 - 1495, http://dx.doi.org/10.1109/TPWRS.2015.2428714

Sarker R; Elsayed S, 2015, 'Evolutionary algorithm for analyzing higher degree research student recruitment and completion', Cogent Engineering, 2, http://dx.doi.org/10.1080/23311916.2015.1063760

Elsayed S; Sarker R; Essam D, 2015, 'Survey of Uses of Evolutionary Computation Algorithms and Swarm Intelligence for Network Intrusion Detection', International Journal of Computational Intelligence and Applications, 14, http://dx.doi.org/10.1142/S146902681550025X

Mabrok MA; Elsayed S; Ryan MJ, 2015, 'Mathematical framework for recursive model-based system design', Nonlinear Dynamics, 84, pp. 223 - 236, http://dx.doi.org/10.1007/s11071-015-2418-1

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