By Dr Saber Mohamed Elsayed

Book Chapters

Harrison KR; Elsayed SM; Garanovich IL; Weir T; Boswell SG; Sarker RA, 2022, 'A New Model for the Project Portfolio Selection and Scheduling Problem with Defence Capability Options', in Adaptation, Learning, and Optimization, pp. 89 - 123, http://dx.doi.org/10.1007/978-3-030-88315-7_5

Sarker RA; Harrison KR; Elsayed SM, 2022, 'Evolutionary Approaches for Project Portfolio Optimization: An Overview', in Adaptation, Learning, and Optimization, pp. 9 - 35, http://dx.doi.org/10.1007/978-3-030-88315-7_2

Harrison KR; Elsayed S; Garanovich IL; Weir T; Boswell SG; Sarker RA, 2022, 'Preface', in , pp. v - vi

Harrison KR; Elsayed S; Garanovich IL; Weir T; Boswell SG; Sarker RA, 2021, 'Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling', in , Springer

Sallam K; Elsayed S; Sarker R; Essam D, 2016, 'Differential evolution with landscape-based operator selection for solving numerical optimization problems', in Intelligent and Evolutionary Systems The 20th Asia Pacific Symposium, IES 2016, Canberra, Australia, November 2016, Proceedings, pp. 371 - 387, https://link.springer.com/content/pdf/10.1007%2F978-3-319-49049-6.pdf

Elsayed SM; Sarker R, 2016, 'Dynamic configuration of differential evolution control parameters and operators', in Ray T; Sarker R; Li X (ed.), Artificial Life and Computational Intelligence, Springer Nature, pp. 78 - 88, http://dx.doi.org/10.1007/978-3-319-28270-1_7

Debie E; Elsayed SM; Essam DL; Sarker RA, 2016, 'Investigating multi-operator differential evolution for feature selection', in Ray T; Sarker R; Li X (ed.), Artificial Life and Computational Intelligence, Springer Nature, pp. 273 - 284, http://dx.doi.org/10.1007/978-3-319-28270-1_23

Ali IM; Elsayed SM; Ray T; Sarker RA, 2016, 'A differential evolution algorithm for solving resource constrained project scheduling problems', in , pp. 209 - 220, http://dx.doi.org/10.1007/978-3-319-28270-1_18

Zaman MF; Elsayed SM; Ray T; Sarker RA, 2016, 'A double action genetic algorithm for scheduling the wind-thermal generators', in , pp. 258 - 269, http://dx.doi.org/10.1007/978-3-319-28270-1_22

Elsayed S; Zaman M; Sarker , 2015, 'Automated Differential Evolution for Solving Dynamic Economic Dispatch Problems', in Lavangnananda K; PhonAmnuaisuk S; Engchuan W; Chan JH (ed.), Intelligent and Evolutionary Systems The 19th Asia Pacific Symposium, IES 2015, Bangkok, Thailand, November 2015, Proceedings, Springer, pp. 357 - 372, http://dx.doi.org/10.1007/978-3-319-27000-5_29

Elsayed S; Sarker R, 2015, 'Evolving the Parameters of Differential Evolution Using Evolutionary Algorithms', in Handa H; Ishibuchi H; Ong YS; Tan KC (ed.), , SPRINGER INTERNATIONAL PUBLISHING AG, pp. 523 - 534, http://dx.doi.org/10.1007/978-3-319-13359-1_40

Elsayed ; Sarker R; Essam D, 2012, 'The influence of the number of initial feasible solutions on the performance of an evolutionary optimization algorithm', in , Springer Verlag, pp. 1 - 11, http://dx.doi.org/10.1007/978-3-642-34859-4_1

Elsayed ; Sarker R; Essam D, 2010, 'A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization', in , Springer Berlin Heidelberg NewYork, Berlin Heidelberg NewYork, pp. 177 - 186, http://dx.doi.org/10.1007/978-3-642-17298-4_18

Elsayed ; Sarker R; Essam D, 2010, 'A Three-Strategy Based Differential Evolution Algorithm for Constrained Optimization', in , Springer Berlin Heidelberg NewYork, Berlin Heidelberg NewYork, pp. 585 - 592, http://dx.doi.org/10.1007/978-3-642-17537-4_71

Edited Books

Harrison KR; Elsayed SM; Garanovich IL; Weir T; Boswell SG; Sarker RA, (eds.), 2022, Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling, Springer, Cham, http://dx.doi.org/10.1007/978-3-030-88315-7

Journal articles

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

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

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, 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, 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

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