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Associate Professor Saber Elsayed

Associate Professor Saber Elsayed

Associate Professor
黑料网大事记 Canberra
School of Systems & Computing

Saber is an Associate Professor at the School of Engineering and Information Technology (SEIT), University of New South Wales (黑料网大事记) Canberra, Australia. Saber was awarded a PhD degree in Computer Science from 黑料网大事记 Canberra in 2012.

Dr Elsayed鈥檚 primary research focus areas include computational intelligence and swarm guidance. His research contributions have led to several advantages in many areas, i.e., defence, logistics, engineering and business.听听

Dr Elsayed is an Associate Editor of the IEEE Transactions on Evolutionary Computation. He is a Senior IEEE member. From 2019 to 2020, he served as the Chair of the IEEE Computational Intelligence Society (ACT Chapter). Dr Elsayed contributed to the organisation of several international conferences. Currently, he is a member of the IEEE Computational Intelligence Society Summer School subcommittee. Dr Elsayed won several competitions organised at top conferences in the field

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Phone
+61 2 5114 5114
E-mail
s.elsayed@unsw.edu.au
Location
Room 115, B15
  • Book Chapters | 2024
    Elsayed S; Mabrok M, 2024, 'Large-Scale Swarm Control in听Cluttered Environments', in , pp. 384 - 395,
    Book Chapters | 2023
    Mara STW; Elsayed S; Essam D; Sarker R, 2023, 'Vehicle Routing Problem for听an听Integrated Electric Vehicles and听Drones System', in Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Springer Nature Switzerland, pp. 197 - 214,
    Book Chapters | 2022
    Harrison KR; Elsayed S; Garanovich IL; Weir T; Boswell SG; Sarker RA, 2022, 'Preface', in , pp. v - vi
    Book Chapters | 2022
    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,
    Book Chapters | 2022
    Sarker RA; Harrison KR; Elsayed SM, 2022, 'Evolutionary Approaches for Project Portfolio Optimization: An Overview', in Adaptation, Learning, and Optimization, pp. 9 - 35,
    Book Chapters | 2021
    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
    Book Chapters | 2016
    Ali IM; Elsayed SM; Ray T; Sarker RA, 2016, 'A differential evolution algorithm for solving resource constrained project scheduling problems', in , pp. 209 - 220,
    Book Chapters | 2016
    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,
    Book Chapters | 2016
    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,
    Book Chapters | 2016
    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,
    Book Chapters | 2016
    Zaman MF; Elsayed SABER; Ray ; Sarker , 2016, 'An Evolutionary Framework for Bi-objective Dynamic Economic and Environmental Dispatch Problems', in Leu ; Singh ; Elsayed (ed.), Intelligent and Evolutionary Systems The 20th Asia Pacific Symposium, IES 2016, Canberra, Australia, November 2016, Proceedings, Springer, pp. 495 - 508,
    Book Chapters | 2016
    Zaman MF; Elsayed SM; Ray T; Sarker RA, 2016, 'A double action genetic algorithm for scheduling the wind-thermal generators', in , pp. 258 - 269,
    Book Chapters | 2015
    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,
    Book Chapters | 2015
    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,
    Book Chapters | 2014
    Elsayed S; Sarker R, 2014, 'Evolving the Parameters of Differential Evolution using Evolutionary Algorithms', in Proceedings in Adaptation, Learning and Optimization 1, Springer Cham Heidelberg, New York, pp. 523 - 534,
    Book Chapters | 2012
    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,
    Book Chapters | 2010
    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,
    Book Chapters | 2010
    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,
  • Edited Books | 2022
    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,
  • Journal articles | 2025
    Abdel-Basset M; Mohamed R; Sallam KM; Elsayed S, 2025, 'Efficient algorithms for optimal path planning of unmanned aerial vehicles in complex three-dimensional environments', Knowledge-Based Systems, 316,
    Journal articles | 2025
    Liu J; Sarker R; Essam D; Elsayed S, 2025, 'A decomposition-based hybrid algorithm for large-scale project portfolio selection and scheduling with reaction to changing environments', IEEE Transactions on Engineering Management, pp. 1 - 20,
    Journal articles | 2025
    Radwan M; Elsayed S; Sarker R; Essam D; Coello Coello C, 2025, 'Neuro-PSO algorithm for large-scale dynamic optimization', Swarm and Evolutionary Computation, 94,
    Journal articles | 2024
    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,
    Journal articles | 2024
    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,
    Journal articles | 2024
    Windras Mara ST; 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, 25, pp. 19619 - 19632,
    Journal articles | 2023
    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,
    Journal articles | 2023
    Hamza N; Sarker R; Essam D; Elsayed S, 2023, 'Evolutionary approach for dynamic constrained optimization problems', Alexandria Engineering Journal, 66, pp. 827 - 843,
    Journal articles | 2023
    Mara STW; Sarker R; Essam D; Elsayed S, 2023, 'Solving electric vehicle鈥揹rone routing problem using memetic algorithm', Swarm and Evolutionary Computation, 79,
    Journal articles | 2023
    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,
    Journal articles | 2023
    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,
    Journal articles | 2022
    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,
    Journal articles | 2022
    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,
    Journal articles | 2022
    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,
    Journal articles | 2022
    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,
    Journal articles | 2022
    Meselhi M; Sarker R; Essam D; Elsayed S, 2022, 'A decomposition approach for large-scale non-separable optimization problems', Applied Soft Computing, 115,
    Journal articles | 2022
    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,
    Journal articles | 2021
    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,
    Journal articles | 2021
    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,
    Journal articles | 2021
    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,
    Journal articles | 2021
    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,
    Journal articles | 2021
    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,
    Journal articles | 2021
    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,
    Journal articles | 2021
    Saad H; Chakrabortty R; Elsayed S; Ryan M, 2021, 'Quantum-Inspired Genetic Algorithm for Resource-Constrained Project-Scheduling', IEEE Access,
    Journal articles | 2021
    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,
    Journal articles | 2020
    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,
    Journal articles | 2020
    Elsayed S; Sarker R; Essam D; Coello Coello CA, 2020, 'Evolutionary approach for large-Scale mine scheduling', Information Sciences, 523, pp. 77 - 90,
    Journal articles | 2020
    Elsayed S; Singh H; Debie E; Perry A; Campbell B; Hunjel R; Abbass H, 2020, 'Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution', 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 2194 - 2201,
    Journal articles | 2020
    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,
    Journal articles | 2020
    Li K; Elsayed SM; Sarker R; Essam D, 2020, 'Landscape-based similarity check strategy for dynamic optimization problems', IEEE Access, 8, pp. 178570 - 178586,
    Journal articles | 2020
    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,
    Journal articles | 2020
    Sallam K; Elsayed S; Chakrabortty R; Ryan M, 2020, 'Evolutionary Framework with Reinforcement Learning-based Mutation Adaptation', IEEE Access,
    Journal articles | 2020
    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,
    Journal articles | 2020
    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,
    Journal articles | 2020
    Zaman F; Elsayed SM; Sarker RA; Essam D, 2020, 'Resource Constrained Project Scheduling with Dynamic Disruption Recovery', IEEE Access, 8, pp. 144866 - 144879,
    Journal articles | 2019
    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,
    Journal articles | 2019
    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,
    Journal articles | 2019
    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,
    Journal articles | 2019
    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,
    Journal articles | 2018
    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,
    Journal articles | 2018
    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,
    Journal articles | 2017
    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,
    Journal articles | 2017
    Elsayed S; Sarker R; Coello Coello CA, 2017, 'Sequence-Based Deterministic Initialization for Evolutionary Algorithms', IEEE Transactions on Cybernetics, 47, pp. 2911 - 2923,
    Journal articles | 2017
    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,
    Journal articles | 2017
    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,
    Journal articles | 2017
    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,
    Journal articles | 2017
    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,
    Journal articles | 2016
    Elsayed S; Sarker R, 2016, 'Differential evolution framework for big data optimization', Memetic Computing, 8, pp. 17 - 33,
    Journal articles | 2016
    Zaman F; Elsayed SM; Ray T; Sarker RA, 2016, 'Evolutionary algorithms for power generation planning with uncertain renewable energy', Energy, 112, pp. 408 - 419,
    Journal articles | 2016
    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,
    Journal articles | 2016
    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,
    Journal articles | 2015
    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,
    Journal articles | 2015
    Elsayed SM; Sarker RA; Essam DL, 2015, 'Training and testing a self-adaptive multi-operator evolutionary algorithm for constrained optimization', Applied Soft Computing Journal, 26, pp. 515 - 522,
    Journal articles | 2015
    Mabrok MA; Elsayed S; Ryan MJ, 2015, 'Mathematical framework for recursive model-based system design', Nonlinear Dynamics, 84, pp. 223 - 236,
    Journal articles | 2015
    Sarker R; Elsayed S, 2015, 'Evolutionary algorithm for analyzing higher degree research student recruitment and completion', Cogent Engineering, 2,
    Journal articles | 2015
    Sayed E; Essam D; Sarker R; Elsayed S, 2015, 'Decomposition-based evolutionary algorithm for large scale constrained problems', Information Sciences, 316, pp. 457 - 486,
    Journal articles | 2014
    Elsayed SM; Sarker RA; Essam DL, 2014, 'A new genetic algorithm for solving optimization problems', Engineering Applications of Artificial Intelligence, 27, pp. 57 - 69,
    Journal articles | 2014
    Elsayed SM; Sarker RA; Essam DL, 2014, 'A self-adaptive combined strategies algorithm for constrained optimization using differential evolution', Applied Mathematics and Computation, 241, pp. 267 - 282,
    Journal articles | 2014
    Elsayed SM; Sarker RA; Mezura-Montes E, 2014, 'Self-adaptive mix of particle swarm methodologies for constrained optimization', Information Sciences, 277, pp. 216 - 233,
    Journal articles | 2014
    Hamza NM; Sarker RA; Essam DL; Deb K; Elsayed SM, 2014, 'A constraint consensus memetic algorithm for solving constrained optimization problems', Engineering Optimization, 46, pp. 1447 - 1464,
    Journal articles | 2014
    Sarker RA; Elsayed SM; Ray T, 2014, 'Differential evolution with dynamic parameters selection for optimization problems', IEEE Transactions on Evolutionary Computation, 18, pp. 689 - 707,
    Journal articles | 2013
    Elsayed ; Sarker R; Essam D, 2013, 'An improved self-adaptive differential evolution algorithm for optimization problems', IEEE Transactions on Industrial Informatics, 9, pp. 89 - 99,
    Journal articles | 2013
    Elsayed ; Sarker R; Essam D, 2013, 'Self-adaptive differential evolution incorporating a heuristic mixing of operators', Computational Optimization and Applications, 54, pp. 771 - 790,
    Journal articles | 2013
    Elsayed SM; Sarker RA; Essam DL, 2013, 'Adaptive Configuration of evolutionary algorithms for constrained optimization', Applied Mathematics and Computation, 222, pp. 680 - 711,
    Journal articles | 2012
    Elsayed ; Sarker R; Essam D, 2012, 'On an Evolutionary Approach for Constrained Optimization Problem Solving', Applied soft computing : the official journal of the World Federation on Soft Computing (WFSC), 12, pp. 3208 - 3227,
    Journal articles | 2012
    Elsayed ; Sarker R; Essam D, 2012, 'The influence of the number of initial feasible solutions on the performance of an evolutionary optimization algorithm', Lecture Notes on Computer Science, 7673, pp. 1 - 11,
    Journal articles | 2011
    Elsayed ; Sarker R; Essam D, 2011, 'Multi-operator based evolutionary algorithms for solving constrained optimization problems', Computers and Operations Research, 38, pp. 1877 - 1896,
    Journal articles | 2010
    Elsayed ; Sarker R; Essam D, 2010, 'A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization', Simulated Evolution and Learning, 6457 LNCS, pp. 177 - 186,
    Journal articles | 2010
    Elsayed ; Sarker R; Essam D, 2010, 'A Three-Strategy Based Differential Evolution Algorithm for Constrained Optimization', Neural Information Processing. Theory and Algorithms, 6443 LNCS, pp. 585 - 592,
  • Conference Papers | 2024
    Elfeky E; Sherman G; Elsayed S; Shovon MHI; Lodge R; Campbell B; Essam D; Sarker R, 2024, 'Differential Evolution Algorithm for Battlefield Surveillance Sensor Placement', in 2024 IEEE Congress on Evolutionary Computation, CEC 2024 - Proceedings,
    Conference Papers | 2024
    Elsayed S; Mabrok M, 2024, 'Large-Scale Swarm Control in听Cluttered Environments', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 384 - 395,
    Conference Papers | 2024
    Elsayed S, 2024, 'Evolving Question Design to Mitigate the Impact of Generative AI Text Tools on Education', in Proceedings of International Conference on Computers and Industrial Engineering, CIE, pp. 293 - 302
    Conference Papers | 2024
    Hamza N; Sarker R; Essam D; Elsayed S, 2024, 'Constraint Consensus for Solving Large-scale Constrained Optimization Problems', in 2024 IEEE Congress on Evolutionary Computation, CEC 2024 - Proceedings,
    Conference Papers | 2024
    Liu J; Elsayed S; Essam D; Sarker R; Garanovich IL; Weir T, 2024, 'Large-Scale Project Portfolio Selection and Scheduling Problem: A Comparison of Exact Solvers and Metaheuristics', in 2024 IEEE Congress on Evolutionary Computation, CEC 2024 - Proceedings,
    Conference Papers | 2024
    Mara STW; Sarker R; Essam D; Elsayed S, 2024, 'Evolutionary Approach for a Green Logistics System with Drone-as-a-Service Providers', in Proceedings of International Conference on Computers and Industrial Engineering, CIE, pp. 190 - 199
    Conference Papers | 2024
    Meselhi M; Hamza N; Elsayed S; Essam D; Sarker R, 2024, 'An Evolutionary Framework for Large-Scale Constrained Optimization', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 3751 - 3756,
    Conference Papers | 2023
    Elsayed S; Hassanin M, 2023, 'Improved Shepherding Model for Large-scale Swarm Control', in International Conference on Smart Computing and Application, ICSCA 2023,
    Conference Papers | 2023
    Elsayed S, 2023, 'Towards Mitigating ChatGPT's Negative Impact on Education: Optimizing Question Design Through Bloom's Taxonomy', in 2023 IEEE Region 10 Symposium, TENSYMP 2023,
    Conference Papers | 2023
    Li K; Elsayed S; Sarker R; Essam D, 2023, 'Landscape-Based Genetic Algorithm with Quantum Entanglement for Dynamic Optimization Problems', in International Conference on Software, Knowledge Information, Industrial Management and Applications, SKIMA, pp. 187 - 192,
    Preprints | 2023
    Liu J; Singh H; Elsayed S; Hunjet R; Abbass H, 2023, Planning-Assisted Context-Sensitive Autonomous Shepherding of Dispersed Robotic Swarms in Obstacle-Cluttered Environments,
    Conference Papers | 2023
    Liu J; Singh H; Elsayed S; Hunjet R; Abbass HA, 2023, 'Distance Constrained Robotic Swarm Shepherding Based on Two-Phase Ant Colony Optimisation', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 5224 - 5230,
    Conference Papers | 2023
    Liu J; Singh H; Elsayed S; Hunjet R; Abbass HA, 2023, 'Effective Robotic Swarm Shepherding in the Presence of Obstacles', in 2023 IEEE Congress on Evolutionary Computation, CEC 2023,
    Preprints | 2023
    Liu J; Singh H; Elsayed SM; Hunjet R; Abbass H, 2023, Planning-Assisted Context-Sensitive Autonomous Shepherding of Dispersed Robotic Swarms in Obstacle-Cluttered Environments,
    Conference Papers | 2023
    Mara STW; Elsayed S; Essam D; Sarker R, 2023, 'Vehicle Routing Problem for听an听Integrated Electric Vehicles and听Drones System', in Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, pp. 197 - 214,
    Conference Papers | 2023
    Nguyen DT; Singh H; Elsayed S; Hunjet R; Abbass HA, 2023, 'Multi-agent Knowledge Transfer in a Society of Interpretable Neural Network Minds for Dynamic Context Formation in Swarm Shepherding', in Proceedings of the International Joint Conference on Neural Networks,
    Conference Papers | 2023
    Paul D; Mo H; Elsayed S; Chakrabortty RK, 2023, 'Predicting Energy Consumption of Battery-Operated Electric Vehicles: A Comparative Performance Assessment', in 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023, pp. 1032 - 1036,
    Conference Papers | 2023
    Windras Mara ST; Sarker R; Essam D; Elsayed S, 2023, 'Electric Vehicle-Drone Routing Problem with Optional Drone Availability', in IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 827 - 832,
    Conference Papers | 2022
    Elfeky E; Cochrane M; Crase S; Elsayed S; Sims B; Essam D; Sarker R, 2022, 'Coevolution with Danger Zone Levels Strategy for the Weapon Target Assignment Problem', in Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022, pp. 596 - 603,
    Conference Papers | 2022
    Elfeky E; Cochrane M; Marsh L; Elsayed S; Sims B; Crase S; Essam D; Sarker R, 2022, 'Coevolutionary Algorithm for Evolving Competitive Strategies in the Weapon Target Assignment Problem', in ACM International Conference Proceeding Series, pp. 9 - 18,
    Conference Papers | 2022
    Hamza N; Elsayed S; Sarker R; Essam D, 2022, 'Evolutionary Constrained Optimization with Dynamic Changes and Uncertainty in the Objective Function', in International Conference on Software, Knowledge Information, Industrial Management and Applications, SKIMA, Institute of Electrical and Electronics Engineers (IEEE), pp. 54 - 60, presented at 2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 02 December 2022 - 04 December 2022,
    Conference Papers | 2022
    Hamza N; Elsayed S; Sarker R; Essam D, 2022, 'Solving constrained problems with dynamic objective functions', in 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings,
    Conference Papers | 2022
    Harrison KR; Elsayed SM; Weir T; Garanovich IL; Boswell SG; Sarker RA, 2022, 'A Novel Multi-Objective Project Portfolio Selection and Scheduling Problem', in Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022, pp. 480 - 487,
    Conference Papers | 2022
    Mohamed RE; Elsayed S; Hunjet R; Abbass H, 2022, 'Reinforcement Learning for Solving Communication Problems in Shepherding', in Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022, pp. 1626 - 1635,
    Conference Papers | 2021
    Ahrari A; Elsayed S; Sarker R; Essam D; Coello Coello CA, 2021, 'Modular Analysis and Development of a Genetic Algorithm with Standardized Representation for Resource-Constrained Project Scheduling', in 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), ELECTR NETWORK, pp. 612 - 619, presented at 2021 IEEE Congress on Evolutionary Computation (CEC), ELECTR NETWORK, 28 June 2021 - 01 July 2021,
    Conference Papers | 2021
    Debie E; Singh H; Elsayed S; Perry A; Hunjet R; Abbass H, 2021, 'A Neuro-Evolution Approach to Shepherding Swarm Guidance in the Face of Uncertainty', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 2634 - 2641,
    Conference Papers | 2021
    Harrison KR; Elsayed S; Sarker RA; Garanovich IL; Weir T; Boswell SG, 2021, 'Project portfolio selection with defense capability options', in GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), pp. 1825 - 1826, presented at Proceedings of the Genetic and Evolutionary Computation Conference Companion,
    Conference Papers | 2021
    Islam T; Elsayed S; Essam D; Sarker R, 2021, 'A Comparative Study of Different Forecasting Models for Energy Demand Forecasting', in Smart Innovation, Systems and Technologies, Tekkali, India, pp. 553 - 564, presented at 6th International Conference on Computational Intelligence in Data Mining, Tekkali, India, 11 December 2021 - 12 December 2021,
    Conference Papers | 2021
    Meselhi MA; Elsayed SM; Sarker RA; Essam DL, 2021, 'Parallel Evolutionary Algorithm for EEG Optimization Problems', in 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings, pp. 2577 - 2584,
    Conference Papers | 2021
    Mohamed RE; Elsayed S; Hunjet R; Abbass H, 2021, 'A Graph-based Approach for Shepherding Swarms with Limited Sensing Range', in 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings, pp. 2315 - 2322,
    Conference Papers | 2021
    Mohamed RE; Hunjet R; Elsayed S; Abbass H, 2021, 'Deep Learning for Noisy Communication System', in 2021 31st International Telecommunication Networks and Applications Conference, ITNAC 2021, pp. 40 - 47,
    Conference Papers | 2021
    Saad H; Chakrabortty R; Elsayed S, 2021, 'Quantum-Inspired Differential Evolution for Resource-Constrained Project-Scheduling: Preliminary study', IEEE, Krakow, Poland, presented at 2021 IEEE Congress on Evolutionary Computation, Krakow, Poland, 28 June 2021 - 01 July 2021,
    Conference Papers | 2020
    Ahrari A; Elsayed S; Sarker R; Essam D; Coello CAC, 2020, 'Towards a More Practically Sound Formulation of Dynamic Problems and Performance Evaluation of Dynamic Search Methods', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, Institute of Electrical and Electronics Engineers (IEEE), ELECTR NETWORK, pp. 1387 - 1394, presented at 2020 IEEE Symposium Series on Computational Intelligence (SSCI), ELECTR NETWORK, 01 December 2020 - 04 December 2020,
    Conference Papers | 2020
    El-Fiqi H; Campbell B; Elsayed S; Perry A; Singh HK; Hunjet R; Abbass H, 2020, 'A preliminary study towards an improved shepherding model', in GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pp. 75 - 76,
    Conference Papers | 2020
    Elsayed S; Sarker R; Hamza N; Coello CAC; Mezura-Montes E, 2020, 'Enhancing Evolutionary Algorithms by Efficient Population Initialization for Constrained Problems', in 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings,
    Conference Papers | 2020
    Elsayed S; Singh H; Debie E; Perry A; Campbell B; Hunjel R; Abbass H, 2020, 'Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution', in 2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020), IEEE, Due to COVID-19 restrictions, the event was held virtually with the broadcast from Canberra, Australia., pp. 2194 - 2201, presented at 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Due to COVID-19 restrictions, the event was held virtually with the broadcast from Canberra, Australia., 01 December 2020 - 04 December 2020,
    Conference Papers | 2020
    Harrison KR; Elsayed S; Weir T; Garanovich IL; Galister M; Boswell S; Taylor R; Sarker R, 2020, 'Multi-Period Project Selection and Scheduling for Defence Capability-Based Planning', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, Institute of Electrical and Electronics Engineers (IEEE), ELECTR NETWORK, pp. 4044 - 4050, presented at 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), ELECTR NETWORK, 11 October 2020 - 14 October 2020,
    Conference Papers | 2020
    Harrison KR; Elsayed S; Weir T; Garanovich IL; Taylor R; Sarker R, 2020, 'An Exploration of Meta-Heuristic Approaches for the Project Portfolio Selection and Scheduling Problem in a Defence Context', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, Institute of Electrical and Electronics Engineers (IEEE), ELECTR NETWORK, pp. 1395 - 1402, presented at 2020 IEEE Symposium Series on Computational Intelligence (SSCI), ELECTR NETWORK, 01 December 2020 - 04 December 2020,
    Conference Papers | 2020
    Sallam K; Elsayed S; Chakrabortty R; Ryan M, 2020, 'Improved Multi-operator Differential Evolution Algorithm for Solving Unconstrained Problems', in 2020 IEEE Congress on Evolutionary Computation (CEC), IEEE, Glasgow, United Kingdom, pp. 1 - 8, presented at IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE (WCCI) 2020, Glasgow, United Kingdom, 19 July 2020 - 24 July 2020,
    Conference Papers | 2020
    Sallam K; Elsayed S; Chakrabortty R; Ryan M, 2020, 'Multi-Operator Differential Evolution Algorithm for Solving Real-World Constrained Optimization Problems', in IEEE Congress on Evolutionary Computation (CEC), Glasgow, United Kingdom, presented at IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE (WCCI) 2020, Glasgow, United Kingdom, 19 July 2020 - 24 July 2020,
    Conference Papers | 2020
    Sallam KM; Elsayed SM; Chakrabortty RK; Ryan MJ, 2020, 'Multi-Operator Differential Evolution Algorithm for Solving Real-World Constrained Optimization Problems', in 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings,
    Conference Papers | 2019
    Ahrari A; Elsayed S; Sarker R; Essam D, 2019, 'A New Prediction Approach for Dynamic Multiobjective Optimization', in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, IEEE Xplore, Wellington, New Zealand, New Zealand, pp. 2268 - 2275, presented at Congress on Evolutionary Computation (CEC), Wellington, New Zealand, New Zealand, 10 June 2019 - 13 June 2019,
    Conference Papers | 2019
    Li K; Elsayed S; Sarker R; Essam D, 2019, 'Quantum Differential Evolution: An Investigation', in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), NEW ZEALAND, Wellington, pp. 3022 - 3029, presented at 2019 IEEE Congress on Evolutionary Computation (CEC), NEW ZEALAND, Wellington, 10 June 2019 - 13 June 2019,
    Conference Papers | 2019
    Singh H; Campbell B; Elsayed S; Perry A; Hunjet R; Abbass H, 2019, 'Modulation of Force Vectors for Effective Shepherding of a Swarm: A Bi-Objective Approach', in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, pp. 2941 - 2948,
    Conference Papers | 2019
    Zaman F; Elsayed S; Sarker R; Essam D; Coello Coello CA, 2019, 'Evolutionary Algorithm for Project Scheduling under Irregular Resource Changes', in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), NEW ZEALAND, Wellington, pp. 403 - 410, presented at 2019 IEEE Congress on Evolutionary Computation (CEC), NEW ZEALAND, Wellington, 10 June 2019 - 13 June 2019,
    Conference Papers | 2018
    Liu C; Zhao Q; Yan B; Elsayed S; Sarker R, 2018, 'An Improved Multi-Objective Evolutionary Approach for Clustering High-Dimensional Data', in Sill A; Spillner J (ed.), Proceedings - 5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2018, Institute of Electrical and Electronics Engineers (IEEE), SWITZERLAND, Zurich, pp. 184 - 190, presented at 2018 IEEE/ACM 5th International Conference on Big Data Computing Applications and Technologies (BDCAT), SWITZERLAND, Zurich, 17 December 2018 - 20 December 2018,
    Conference Papers | 2018
    Meselhi M; Sarker R; Essam D; Elsayed S, 2018, 'Decomposition of overlapping optimization functions', in Proceedings of International Conference on Computers and Industrial Engineering, CIE, Auckland, New Zealand, presented at CIE 48, Computers & Industrial Engineering, Auckland, New Zealand, 02 December 2018 - 05 December 2018,
    Conference Papers | 2018
    Meselhi MA; Sarker RA; Essam DL; Elsayed SM, 2018, 'Enhanced differential grouping for large scale optimization', in IJCCI 2018 - Proceedings of the 10th International Joint Conference on Computational Intelligence, SciTePress, Seville, Spain, pp. 217 - 224, presented at IJCCI 2018 : 10th International Joint Conference on Computational Intelligence, Seville, Spain, 18 September 2018 - 20 September 2018,
    Conference Papers | 2018
    Sallam K; Elsayed S; Sarker R; Essam D, 2018, 'Landscape-Based Differential Evolution for Constrained Optimization Problems', in 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings,
    Conference Papers | 2018
    Sallam KM; Elsayed SM; Sarker RA; Essam DL, 2018, 'Improved United Multi-Operator Algorithm for Solving Optimization Problems', in 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings,
    Conference Papers | 2018
    Zaman F; Elsayed S; Sarker R; Essam D, 2018, 'A New Hybrid Approach for the Multimode Resource-Constrained Project Scheduling Problems', in Proceedings of International Conference on Computers and Industrial Engineering, CIE, The University of Auckland, New Zealand, presented at The 48th International Conference on Computers and Industrial Engineering (CIE 48),, The University of Auckland, New Zealand, 02 December 2018 - 05 December 2018,
    Conference Papers | 2018
    Zaman F; Elsayed S; Sarker R; Essam D, 2018, 'Scenario-Based Solution Approach for Uncertain Resource Constrained Scheduling Problems', in 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), BRAZIL, Rio de Janeiro, pp. 1 - 8, presented at 2018 IEEE Congress on Evolutionary Computation (CEC), BRAZIL, Rio de Janeiro, 08 July 2018 - 13 July 2018,
    Conference Papers | 2017
    Meselhi MA; Elsayed SM; Essam DL; Sarker RA, 2017, 'Fast differential evolution for big optimization', in International Conference on Software, Knowledge Information, Industrial Management and Applications, SKIMA,
    Conference Papers | 2017
    Sallam KM; Elsayed SM; Sarker RA; Essam DL, 2017, 'Multi-method based orthogonal experimental design algorithm for solving CEC2017 competition problems', in 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), San Sebastian, Spain, pp. 1350 - 1357, presented at 2017 IEEE Congress on Evolutionary Computation (CEC), San Sebastian, Spain, 05 June 2017 - 08 June 2017,
    Conference Papers | 2016
    Aguilar-Justo AE; Mezura-Montes E; Elsayed SM; Sarker RA, 2016, 'Decomposition of large-scale constrained problems using a genetic-based search', in 2016 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2016, Ixtapa, Mexico, presented at 2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), Ixtapa, Mexico, 09 November 2016 - 11 November 2016,
    Conference Papers | 2016
    Ali IM; Elsayed SM; Ray T; Sarker RA, 2016, 'A differential evolution algorithm for solving resource constrained project scheduling problems', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Canberra, ACT, Australia, pp. 209 - 220, presented at Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, Canberra, ACT, Australia, 02 February 2016 - 05 February 2016,
    Conference Papers | 2016
    Debie E; Elsayed SM; Essam DL; Sarker RA, 2016, 'Investigating multi-operator differential evolution for feature selection', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 273 - 284,
    Conference Papers | 2016
    Elsayed S; Hamza N; Sarker R, 2016, 'Testing united multi-operator evolutionary algorithms-II on single objective optimization problems', in 2016 IEEE Congress on Evolutionary Computation, CEC 2016, Institute of Electrical and Electronics Engineers (IEEE), CANADA, Vancouver, pp. 2966 - 2973, presented at 2016 IEEE Congress on Evolutionary Computation (CEC), CANADA, Vancouver, 24 July 2016 - 29 July 2016,
    Conference Papers | 2016
    Elsayed S; Sarker R; Coello CC; Coello Coello C, 2016, 'Enhanced multi-operator differential evolution for constrained optimization', in 2016 IEEE Congress on Evolutionary Computation, CEC 2016, Institute of Electrical and Electronics Engineers (IEEE), CANADA, Vancouver, pp. 4191 - 4198, presented at 2016 IEEE Congress on Evolutionary Computation (CEC), CANADA, Vancouver, 24 July 2016 - 29 July 2016,
    Conference Papers | 2016
    Elsayed SM; Sarker R, 2016, 'Dynamic configuration of differential evolution control parameters and operators', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 78 - 88,
    Conference Papers | 2016
    Sallam KM; Elsayed SM; Sarker RA; Essam DL, 2016, 'Two-phase differential evolution framework for solving optimization problems', in 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, Institute of Electrical and Electronics Engineers (IEEE), Athens, Greece, pp. 1 - 8, presented at 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece, 06 December 2016 - 09 December 2016,
    Conference Papers | 2016
    Zaman MF; Elsayed S; Ray T; Sarker , 2016, 'A Co-evolutionary approach for optimal bidding strategy of multiple electricity suppliers', in Evolutionary Computation (CEC), 2016 IEEE Congress on, Vancouver, Canada, presented at IEEE Congress on Evolutionary Computation (CEC), Vancouver, Canada, 24 July 2016 - 29 July 2016,
    Conference Papers | 2016
    Zaman MF; Elsayed SABER; Ray ; Sarker , 2016, 'An Evolutionary Framework for Bi-objective Dynamic Economic and Environmental Dispatch Problems', in Leu ; Singh ; Elsayed (eds.), Proceedings in Adaptation, Learning and Optimization, Springer, AUSTRALIA, Univ New S Wales, Canberra Campus, Australian Def Force Acad, Canberra, pp. 495 - 508, presented at 20th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES), AUSTRALIA, Univ New S Wales, Canberra Campus, Australian Def Force Acad, Canberra,
    Conference Papers | 2016
    Zaman MF; Elsayed SM; Ray T; Sarker RA, 2016, 'A double action genetic algorithm for scheduling the wind-thermal generators', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Canberra, ACT, Australia, pp. 258 - 269, presented at Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, 02 February 2016 - 05 February 2016,
    Conference Papers | 2015
    Ali IM; Elsayed SABER; Ray T; Sarker R, 2015, 'Memetic Algorithm for solving Resource Constrained Project Scheduling Problems', in Evolutionary Computation, Massachusetts Institute of Technology Press (MIT Press): STM Titles, Sendai, presented at CEC, Sendai, 25 May 2015 - 28 May 2015,
    Conference Papers | 2015
    Elsayed SM; Sarker R; Slay , 2015, 'Evaluating the performance of a differential evolution algorithm in anomaly detection', in 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), Sendai, Japan, pp. 2490 - 2497, presented at IEEE Congress on Evolutionary Computation, Sendai, Japan, 25 May 2015 - 28 April 2016,
    Conference Papers | 2015
    Sallam ; Sarker ; Essam ; Elsayed SM, 2015, 'Neurodynamic differential evolution algorithm and solving CEC2015 competition problems', in IEEE Congress on Evolutionary Computation,, Institute of Electrical and Electronics Engineers (IEEE), Sendai, Japan, pp. 1033 - 1040, presented at IEEE Congress on Evolutionary Computation, Sendai, Japan, 25 May 2015 - 28 May 2015,
    Conference Papers | 2015
    Zaman MF; Elsayed S; Ray T; Sarker R, 2015, 'An Evolutionary Approach for Scheduling Solar-thermal Power Generation System', Metz, France, presented at International Conference on Computers & Industrial Engineering (CIE), Metz, France, 28 October 2015 - 30 October 2015,
    Conference Papers | 2015
    elsayed ; sarker ; Elsayed SM, 2015, 'An Adaptive Configuration of Differential Evolution Algorithms for Big Data', in 2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), IEEE, Sendai, Japan, pp. 695 - 702, presented at IEEE Congress on Evolutionary Computation, Sendai, Japan, 25 May 2015 - 28 May 2015
    Conference Papers | 2014
    Elsayed S; Sarker R, 2014, 'Evolving the Parameters of Differential Evolution Using Evolutionary Algorithms', in Handa H; Ishibuchi H; Ong YS; Tan KC (eds.), PROCEEDINGS OF THE 18TH ASIA PACIFIC SYMPOSIUM ON INTELLIGENT AND EVOLUTIONARY SYSTEMS, VOL 1, SPRINGER INTERNATIONAL PUBLISHING AG, SINGAPORE, Singapore, pp. 523 - 534, presented at 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, SINGAPORE, Singapore, 10 November 2014 - 12 November 2014,
    Conference Papers | 2014
    Elsayed SM; Ray T; Sarker RA, 2014, 'A surrogate-assisted differential evolution algorithm with dynamic parameters selection for solving expensive optimization problems', in Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014, pp. 1062 - 1068,
    Conference Papers | 2014
    Elsayed SM; Sarker RA; Essam DL; Hamza NM, 2014, 'Testing united multi-operator evolutionary algorithms on the CEC2014 real-parameter numerical optimization', in Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014, pp. 1650 - 1657,
    Conference Papers | 2014
    Elsayed SM; Sarker RA; Essam DL, 2014, 'United multi-operator evolutionary algorithms', in Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014, pp. 1006 - 1013,
    Conference Papers | 2014
    Greenwood GW; Elsayed S; Sarker R; Abbass HA, 2014, 'Online generation of trajectories for autonomous vehicles using a multi-agent system', in Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014, pp. 1218 - 1224,
    Conference Papers | 2014
    Sayed E; Essam D; Sarker R; Elsayed S, 2014, 'A decomposition-based algorithm for dynamic economic dispatch problems', in Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014, pp. 1898 - 1905,
    Conference Papers | 2013
    Elsayed ; Sarker R; Essam D, 2013, 'A Genetic Algorithm for Solving the CEC'2013 Competition Problems on Real-Parameter Optimization', Canc煤n, M茅xico, pp. 356 - 360, presented at 2013 IEEE Congress on Evolutionary Computation, Canc煤n, M茅xico, 20 June 2013 - 23 June 2013,
    Conference Papers | 2013
    Elsayed ; Sarker R; Mezura-montes E, 2013, 'Particle Swarm Optimizer for Constrained Optimization', Canc煤n, M茅xico, pp. 1703 - 1711, presented at 2013 IEEE Congress on Evolutionary Computation, Canc煤n, M茅xico, 20 June 2013 - 23 June 2013,
    Conference Papers | 2013
    Elsayed ; Sarker R; Ray T, 2013, 'Differential Evolution with Automatic Parameter Configuration for Solving the CEC2013 Competition on Real-Parameter Optimization', Canc煤n, M茅xico, pp. 1932 - 1937, presented at 2013 IEEE Congress on Evolutionary Computation, Canc煤n, M茅xico, 20 June 2013 - 23 June 2013,
    Conference Papers | 2013
    Elsayed ; Sarker R, 2013, 'Differential Evolution with Automatic Population Injection Scheme', in 2013 IEEE Symposium on Differential Evolution (SDE 2013), IEEE, Singapore, pp. 1 - 8, presented at 2013 IEEE Symposium on Differential Evolution, Singapore, 16 April 2013 - 19 April 2013
    Conference Papers | 2013
    Elsayed SM; Sarker RA, 2013, 'Differential Evolution with automatic population injection scheme for constrained problems', in Proceedings of the 2013 IEEE Symposium on Differential Evolution, SDE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013, pp. 112 - 118,
    Conference Papers | 2012
    Elsayed ; Sarker R; Essam D, 2012, 'Memetic multi-topology particle swarm optimizer for constrained optimization', in Evolutionary Computation (CEC), 2012 IEEE Congress on, IEEE Press, USA, pp. 1 - 8, presented at Evolutionary Computation (CEC), 2012 IEEE Congress on, Brisbane, 10 June 2012 - 16 June 2012,
    Conference Papers | 2012
    Elsayed ; Sarker R; Ray T, 2012, 'Parameters adaptation in differential evolution', in Evolutionary Computation (CEC), 2012 IEEE Congress on, IEEE Press, USA, pp. 1 - 8, presented at IEEE Congress on Evolutionary Computation, Brisbane, Australia, 10 June 2012 - 15 June 2012,
    Conference Papers | 2011
    Elsayed ; Sarker R; Essam D, 2011, 'Differential evolution with multiple strategies for solving CEC2011 real-world numerical optimization problems', in 2011 IEEE Congress of Evolutionary Computation, IEEE, New Orleans, LA, pp. 1041 - 1048, presented at 2011 IEEE Congress of Evolutionary Computation, CEC 2011, New Orleans, LA, 05 June 2011 - 08 June 2011,
    Conference Papers | 2011
    Elsayed ; Sarker R; Essam D, 2011, 'GA with a new multi-parent crossover for constrained optimization', in 2011 IEEE Congress of Evolutionary Computation, IEEE, New Orleans, LA, pp. 857 - 864, presented at 2011 IEEE Congress of Evolutionary Computation, CEC 2011, New Orleans, LA, 05 June 2011 - 08 June 2011,
    Conference Papers | 2011
    Elsayed ; Sarker R; Essam D, 2011, 'GA with a new multi-parent crossover for solving IEEE-CEC2011 competition problems', in 2011 IEEE Congress of Evolutionary Computation, IEEE, New Orleans, LA, pp. 1034 - 1040, presented at 2011 IEEE Congress of Evolutionary Computation, CEC 2011, New Orleans, LA, 05 June 2011 - 08 June 2011,
    Conference Papers | 2011
    Elsayed ; Sarker R; Essam D, 2011, 'Improved genetic algorithm for constrained optimization', in Computer Engineering & Systems (ICCES), 2011 International Conference on, IEEE Press, USA, pp. 111 - 115, presented at 2011 International Conference on Computer Engineering and Systems, ICCES'2011, Cairo, Egypt, 30 November 2011 - 01 December 2011,
    Conference Papers | 2011
    Elsayed ; Sarker R; Essam D, 2011, 'Integrated strategies differential evolution algorithm with a local search for constrained optimization', in 2011 IEEE Congress of Evolutionary Computation, IEEE, New Orleans, LA, pp. 2618 - 2625, presented at 2011 IEEE Congress of Evolutionary Computation, CEC 2011, New Orleans, LA, 05 June 2011 - 08 June 2011,
    Conference Papers | 2011
    Hamza NM; Elsayed ; Essam D; Sarker R, 2011, 'Differential evolution combined with constraint consensus for constrained optimization', in 2011 IEEE Congress of Evolutionary Computation, IEEE, New Orleans, LA, pp. 865 - 872, presented at 2011 IEEE Congress of Evolutionary Computation, CEC 2011, New Orleans, LA, 05 June 2011 - 08 June 2011,
    Preprints |
    Elsayed SM; Saad H; Chakrabortty RK, Quantum Genetic Algorithm for Resource-Constrained Project Scheduling,

  1. Sarker, R;听Elsayed, SM;听Coello Coello, C.听Evolutionary Framework for Electric Vehicles and Drones Logistics Systems (ARC DP, 2025-2027, $547K)听

  2. Elsayed, SM; Sarker, R. Optimised Sensor Placement for Enhanced Autonomous ISR and Persistent Monitoring听听(DSTG, 2023-24, $150K)

  3. Elsayed, SM; Essam, D. IoMT Sensor Placement Research and Development听听(DSTG, 2022-23, $150K)

  4. Sarker, R, Elsayed, SM. Development of Portfolio Optimisation Heuristics (DSTG, 2021-23, $156K)

  5. Elsayed, SM; Essam, D. Co-evolutionary Computational Intelligence (DSTG, 2020-22, $196K)

  6. Abbass, HA, Elsayed, SM. Smart Shepherding for UxV Swarm Control (DSTG, 2021-22, $160K)

  7. Abbass, HA, Elsayed, SM; Singh, H.; Hunjet, H. Distributed Symbolic-Non-Symbolic Context-Aware Swarm Logics (Office of Naval Research Global, 2019-21, $625K)

  8. Sarker, R, Elsayed, SM.听Intelligent Algorithms for Portfolio Selection in Future Force Design (DSTG, 2019-21, $320K)听

  9. Elsayed, SM;听Evolutionary Frameworks for Dynamic Big Optimisation Problems, 黑料网大事记 Rector鈥檚 start-up grant, $50K

  10. Abbass, HA, Elsayed, SM; Singh, H.听Distributed Context-Awareness for Multi-Agent Systems and its Application to Military Land Vehicles (DSTG, 2018, $20K)

  11. Abbass, HA, Elsayed, SM; Singh, H. Distributed Symbolic-Non-Symbolic Context-Aware Swarm Logics (DSTG, 2018, $5,750)

  12. Elsayed, SM;听Development of Parallel Evolutionary Algorithms for Big Optimisation Problems, NVIDIA GPU Grant (2017, Nvidia Titan Xp graphics card ~=A$1950)

  13. Essam, D.; Elsayed, SM;听听Sarker, R.听Intrusion Detection with Evolutionary Algorithms, the Australian Centre for Cyber Security Research Funding Program (2015, A$50K).

听

  1. Winner of the IEEE WCCI/CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environment (Ahrari A; Elsayed S; Sarker R; Essam, D.; Coello Colleo C)
  2. Winner of the IEEE WCCI/CEC 2022 Competition on Dynamic Optimization Problems Generated by Generalized Moving Peaks Benchmark  (Ahrari A; Elsayed S; Sarker R; Essam, D.; Coello Colleo C)
  3. Best student paper award: Deep Learning For Noisy Communication System. [Mohamed, R.E., Hunjet, R., Elsayed, S. and Abbass, H.] In 2021 31st International Telecommunication Networks and Applications Conference (ITNAC) (pp. 40-47). IEEE.
  4. Winner of the IEEE WCCI/CEC 2020 Competition on Niching Methods for Multimodal Optimization (Ahrari A; Elsayed S; Sarker R; Essam, D.)
  5. Winner of the GECCO 2020 Competition on Niching Methods for Multimodal Optimization (Ahrari A; Elsayed S; Sarker R; Essam, D.)
  6. Winner of the IEEE-CEC2020鈥檚 Competition 鈥淩eal-Parameter Numerical Optimization".
  7. Winner of the IEEE-CEC2016鈥檚 Competition 鈥淩eal-Parameter Numerical Optimization".
  8. Winner of the IEEE-CEC2014鈥檚 Competition 鈥淩eal-Parameter Numerical Optimization".
  9. 黑料网大事记 Publication Fellowship (SEIT, 黑料网大事记 Canberra)
  10. Winner of the IEEE-CEC2011鈥檚 Competition 鈥淭esting Evolutionary Algorithms on Real-world Numerical Optimization Problems鈥
  11. High Impact Journal Publications (as a top-up scholarship, (SEIT, 黑料网大事记 Canberra), 2011
  12. Postgraduate Research Support Scheme (PRSS) funding, 2011

Selected听

  • IEEE Transactions of Evolutionary Computation

  • Member of the IEEE Computational Intelligence Society Summer School subcommittee

  • IEEE CIS ACT Chapter Chair (since 2019-2020)

听

My Research Supervision

Research Candidates

  1. Ahmed Gad (PhD - area: Real-time Task Scheduling in Internet-of-Everything-Fog-Cloud Computing Environment) (Started: May 2024)

  2. Setyo Tri Windras Mara听 (PhD 鈥 area: Optimisation of Electric Vehicle Routing Problems with Drones)听

  3. Dyuti Paul (M. Sc. 鈥 area: Artificial Intelligence for Energy Consumption in Electric Vehicle)听( Completed 2024)听

  4. Mr听Tanvir Islam (M. Sc. 鈥撎鼶evelopment and Application of Artificial Neural Networks for Energy Demand Forecasting in Australia)听( Completed 2023)听

  5. 听Dr听Reem Sherif (PhD 鈥撎鼵omputational Intelligence for Cooperative Swarm Control)听( Completed听2023)听

  6. Dr听Kangjing (Jenny) Li (PhD: Landscape-based Evolutionary Algorithms for Dynamic Optimization Problems) ( Completed听2022)听

  7. Mr Paul Bigland (Honours: Differential Evolution Optimisation Toolbox & A Comparative Study of Differential Evolution Adaptations)听

  8. Dr Md Forhad Zaman (PhD: Power Generation Planning Using Evolutionary Algorithms) (Completed 2017)

  9. Dr Ismail Ali听 (M. Sc.: Evolutionary Optimisation for Scheduling Problems) (Completed June 2016) - received the outstanding thesis in an IT topic award (黑料网大事记 Canberra, 2016 )听

  10. Dr Eman Hasan Samir (PhD: Decomposition-based Evolutionary Optimisation) (Completed 2014)

Chief of Defence Force Research students

  1. Isaac Muscat: Quantity to Quality The Case for the Sheep-Lamb Method in Shepherding Swarm Control, 2024

  2. James Miller: Particle Swarm Optimisation for Large-Scale Open-Pit Mining, 2021

  3. David King: Ant Colony Optimization Algorithm for Static and Dynamic Path Costs, 2020

  4. Viet Hoang Le: Evaluate some basic algorithms for optimisation of resource-constrained project scheduling problem, 2020

  5. Simon J. Telford: Maximising the Profit of an Open-Pit Mine Scheduling Problem Using Evolutionary Algorithms, 2018

Past Post-docs mentorship

  1. Dr Kangjing Li听鈥 is currently a post-doc at 黑料网大事记, Australia

  2. Dr Kyle Harrison 鈥 is currently a Lecturer at the University of New Castle, Australia

  3. Dr Ali Ahrari 鈥 is currently an ARC DECRA听Fellow听at 黑料网大事记, Australia

  4. Dr Heba Elfeky鈥 is currently a Lecturer at 黑料网大事记, Australia

  5. Dr Essam Debie 鈥 is currently a听Lecturer at the University of Canberra, Australia

  6. Dr Md Forhad Zaman 鈥撎 is currently an Advisor with IP Australia

  7. Dr Hatem Saad鈥 is currently working at the University of Canberra

  8. Dr听Tung Nguyen听

听

Current Post-docs mentorship

  1. Dr Ehab Elfeky

  2. Dr Mohamed Radwan

  3. Dr听Jing Liu听

听

Past Research Students co-mentorship

  1. Dr Karam Sallam (PhD)

  2. Dr Mohamed Radwan (PhD)

My Teaching

Data Structures and Representation (ZEIT2103)

Introduction to Programming (ZEIT1102)