Saber Elsayed

Senior Lecturer

Saber is a Senior Lecturer at the School of Engineering and Information Technology (SEIT), University of New South Wales (UNSW) Canberra, Australia. Saber was awarded a PhD degree in Computer Science from the UNSW Canberra, in 2012.

Dr Elsayed’s primary research focus areas include single and multi-objective optimisation, static and dynamic optimisation, large-scale optimisation, project scheduling, swarm guidance and cyber-security using computational intelligence. His research contributions have led to several advantages in many areas, i.e., engineering, business, computer science, defence, mining, cyber security and power systems.

Dr Elsayed was the winner of different competitions organised in top evolutionary computation conferences. From 2019 to 2020, he was serving as the Chair of the IEEE Computational Intelligence Society (ACT Chapter). He was the Local Organising Co-Chair of the 2020 IEEE Symposium Series on Computational Intelligence 2020 (IEEE SSCI), the Program Chair of the 20th Asia-Pacific Symposium on Intelligent and Evolutionary Systems 2016 (Canberra, Australia) and the Registration Co-Chair of the Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2016). Currently, he is a member of the IEEE Computational Intelligence Society Summer School subcommittee.

 

PUBLICATIONS
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Preprints
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2023, Planning-Assisted Context-Sensitive Autonomous Shepherding of Dispersed Robotic Swarms in Obstacle-Cluttered Environments, , http://dx.doi.org/10.48550/arxiv.2301.10363
2023
2020, Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution, , http://dx.doi.org/10.48550/arxiv.2008.12639
2020
Planning-Assisted Context-Sensitive Autonomous Shepherding of Dispersed Robotic Swarms in Obstacle-Cluttered Environments, , http://dx.doi.org/10.2139/ssrn.4373173
Quantum Genetic Algorithm for Resource-Constrained Project Scheduling, , http://dx.doi.org/10.2139/ssrn.4247830
Book Chapters
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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
2022
2022, 'Preface', in , pp. v - vi
2022
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
2022
2021, 'Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling', in , Springer
2021
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
2016
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, edn. Proceedings in Adaptation Learning and Optimization, Springer, King Mongkuts Univ Technol Thonburi, Sch Informat Technol, Bangkok, THAILAND, pp. 357 - 372, http://dx.doi.org/10.1007/978-3-319-27000-5_29
2015
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, http://dx.doi.org/10.1007/978-3-319-13359-1
2014
Conference Papers
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2022, 'A Novel Multi-Objective Project Portfolio Selection and Scheduling Problem', in Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022, IEEE, pp. 480 - 487, presented at 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 04 December 2022 - 07 December 2022, http://dx.doi.org/10.1109/SSCI51031.2022.10022287
2022
2022, 'Coevolutionary Algorithm for Evolving Competitive Strategies in the Weapon Target Assignment Problem', in ACM International Conference Proceeding Series, pp. 9 - 18, http://dx.doi.org/10.1145/3533050.3533052
2022
2022, 'Solving constrained problems with dynamic objective functions', in 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings, IEEE, presented at 2022 IEEE Congress on Evolutionary Computation (CEC), 18 July 2022 - 23 July 2022, http://dx.doi.org/10.1109/CEC55065.2022.9870354
2022
2022, 'Reinforcement Learning for Solving Communication Problems in Shepherding', in Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022, IEEE, pp. 1626 - 1635, presented at 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 04 December 2022 - 07 December 2022, http://dx.doi.org/10.1109/SSCI51031.2022.10022160
2022
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, IEEE, pp. 596 - 603, presented at 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 04 December 2022 - 07 December 2022, http://dx.doi.org/10.1109/SSCI51031.2022.10022268
2022
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, IEEE, pp. 54 - 60, presented at 2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 02 December 2022 - 04 December 2022, http://dx.doi.org/10.1109/SKIMA57145.2022.10029469
2022
2021, 'Project portfolio selection with defense capability options', in GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, ACM, pp. 1825 - 1826, presented at GECCO '21: Genetic and Evolutionary Computation Conference, http://dx.doi.org/10.1145/3449726.3463126
2021
2021, 'A Comparative Study of Different Forecasting Models for Energy Demand Forecasting', in Smart Innovation, Systems and Technologies, Springer Nature Singapore, Tekkali, India, pp. 553 - 564, presented at 6th International Conference on Computational Intelligence in Data Mining, Tekkali, India, 11 December 2021 - 12 December 2021, http://dx.doi.org/10.1007/978-981-16-9447-9_42
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, IEEE, pp. 2315 - 2322, presented at 2021 IEEE Congress on Evolutionary Computation (CEC), 28 June 2021 - 01 July 2021, http://dx.doi.org/10.1109/CEC45853.2021.9504706
2021
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, IEEE, ELECTR NETWORK, pp. 612 - 619, presented at IEEE Congress on Evolutionary Computation (IEEE CEC), ELECTR NETWORK, 28 June 2021 - 01 July 2021, http://dx.doi.org/10.1109/CEC45853.2021.9504950
2021
2021, 'Parallel Evolutionary Algorithm for EEG Optimization Problems', in 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings, IEEE, pp. 2577 - 2584, presented at 2021 IEEE Congress on Evolutionary Computation (CEC), 28 June 2021 - 01 July 2021, http://dx.doi.org/10.1109/CEC45853.2021.9504925
2021
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, http://dx.doi.org/10.1109/CEC45853.2021.9504970
2021
2021, 'Deep Learning for Noisy Communication System', in 2021 31st International Telecommunication Networks and Applications Conference, ITNAC 2021, IEEE, pp. 40 - 47, presented at 2021 31st International Telecommunication Networks and Applications Conference (ITNAC), 24 November 2021 - 26 November 2021, http://dx.doi.org/10.1109/ITNAC53136.2021.9652171
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, IEEE, pp. 2634 - 2641, presented at 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 17 October 2021 - 20 October 2021, http://dx.doi.org/10.1109/SMC52423.2021.9659082
2021
2020, 'Multi-Period Project Selection and Scheduling for Defence Capability-Based Planning', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 4044 - 4050, http://dx.doi.org/10.1109/SMC42975.2020.9283334
2020
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, IEEE, pp. 1395 - 1402, presented at 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 01 December 2020 - 04 December 2020, http://dx.doi.org/10.1109/SSCI47803.2020.9308608
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, IEEE, pp. 1387 - 1394, presented at 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 01 December 2020 - 04 December 2020, http://dx.doi.org/10.1109/SSCI47803.2020.9308464
2020
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, http://dx.doi.org/10.1109/CEC48606.2020.9185722.
2020
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, http://dx.doi.org/10.1109/CEC48606.2020.9185577
2020
2020, 'Multi-Operator Differential Evolution Algorithm for Solving Real-World Constrained Optimization Problems', in 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings, http://dx.doi.org/10.1109/CEC48606.2020.9185722
2020
2020, 'Enhancing Evolutionary Algorithms by Efficient Population Initialization for Constrained Problems', in 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings, http://dx.doi.org/10.1109/CEC48606.2020.9185509
2020
2019, 'An Improved Multi-Objective Evolutionary Approach for Clustering High-Dimensional Data', in Proceedings - 5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2018, pp. 184 - 190, http://dx.doi.org/10.1109/BDCAT.2018.00030
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, pp. 403 - 410, http://dx.doi.org/10.1109/CEC.2019.8790170
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, http://dx.doi.org/10.1109/CEC.2019.8790215
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, http://dx.doi.org/10.1109/CEC.2019.8790228
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, pp. 3022 - 3029, http://dx.doi.org/10.1109/CEC.2019.8790303
2019
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
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, http://dx.doi.org/10.1109/CEC.2018.8477756
2018
Meselhi MA; Elsayed SM; Essam DL; Sarker RA, 2018, 'Fast differential evolution for big optimization', in International Conference on Software, Knowledge Information, Industrial Management and Applications, SKIMA, http://dx.doi.org/10.1109/SKIMA.2017.8294137
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, http://dx.doi.org/10.1109/CEC.2018.8477759
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, http://dx.doi.org/10.1109/CEC.2018.8477900
2018
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, http://dx.doi.org/10.5220/0006938902170224
2018
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
2018
2017, 'Multi-method based orthogonal experimental design algorithm for solving CEC2017 competition problems', in 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings, San Sebastian, Spain, pp. 1350 - 1357, presented at 2017 IEEE Congress on Evolutionary Computation (CEC), San Sebastian, Spain, 05 June 2017 - 08 June 2017, http://dx.doi.org/10.1109/CEC.2017.7969461
2017
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, http://dx.doi.org/10.1007/978-3-319-28270-1_23
2016
Elsayed S; Sarker R; Coello CC, 2016, 'Enhanced multi-operator differential evolution for constrained optimization', in 2016 IEEE Congress on Evolutionary Computation, CEC 2016, pp. 4191 - 4198, http://dx.doi.org/10.1109/CEC.2016.7744322
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, pp. 2966 - 2973, http://dx.doi.org/10.1109/CEC.2016.7744164
2016
2016, 'A Co-evolutionary approach for optimal bidding strategy of multiple electricity suppliers', in Evolutionary Computation (CEC), 2016 IEEE Congress on, Vancouver, Canada, pp. 3507 - 3514, presented at IEEE Congress on Evolutionary Computation (CEC), Vancouver, Canada, 24 July 2016 - 29 July 2016, http://dx.doi.org/10.1109/CEC.2016.7744234
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, http://dx.doi.org/10.1007/978-3-319-28270-1_22
2016
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, http://dx.doi.org/10.1109/ROPEC.2016.7830614
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, http://dx.doi.org/10.1007/978-3-319-28270-1_7
2016
2016, 'Two-phase differential evolution framework for solving optimization problems', in 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, Athens, Greece, presented at 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece, 06 December 2016 - 09 December 2016, http://dx.doi.org/10.1109/SSCI.2016.7850258
2016
2016, 'An Evolutionary Framework for Bi-objective Dynamic Economic and Environmental Dispatch Problems', in Leu ; Singh ; Elsayed (eds.), INTELLIGENT AND EVOLUTIONARY SYSTEMS, IES 2016, Springer, Univ New S Wales, Canberra Campus, Australian Def Force Acad, Canberra, AUSTRALIA, pp. 495 - 508, presented at 20th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES), Univ New S Wales, Canberra Campus, Australian Def Force Acad, Canberra, AUSTRALIA, 01 November 2016, http://dx.doi.org/10.1007/978-3-319-49049-6_36
2016
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, http://dx.doi.org/10.1007/978-3-319-28270-1_18
2016
2015, 'An Evolutionary Approach for Scheduling Solar-thermal Power Generation System', in Proceedings - CIE 45: 2015 International Conference on Computers and Industrial Engineering, Metz, France, presented at International Conference on Computers & Industrial Engineering (CIE), Metz, France, 28 October 2015 - 30 October 2015, http://dx.doi.org/10.13140/RG.2.1.1577.5129
2015
elsayed ; sarker ; Elsayed SM, 2015, 'An Adaptive Configuration of Differential Evolution Algorithms for Big Data', in An Adaptive Configuration of Differential Evolution Algorithms for Big Data, IEEE Congress on Evolutionary Computation, Sendai, Japan, presented at IEEE Congress on Evolutionary Computation, Sendai, Japan, 25 May 2015 - 28 May 2015
2015
2015, 'Neurodynamic differential evolution algorithm and solving CEC2015 competition problems', in IEEE Congress on Evolutionary Computation,, Sendai, Japan, pp. 1033 - 1040, presented at IEEE Congress on Evolutionary Computation, Sendai, Japan, 25 May 2015 - 28 May 2015, http://dx.doi.org/10.1109/CEC.2015.7257003
2015
2015, 'Evaluating the performance of a differential evolution algorithm in anomaly detection', in 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, Sendai, Japan, pp. 2490 - 2497, presented at IEEE Congress on Evolutionary Computation, Sendai, Japan, 25 May 2015 - 28 April 2016, http://dx.doi.org/10.1109/CEC.2015.7257194
2015
2015, 'Memetic Algorithm for solving Resource Constrained Project Scheduling Problems', in Evolutionary Computation, Massachusetts Institute of Technology Press (MIT Press): STM Titles, Sendai, pp. 2761 - 2767, presented at CEC, Sendai, 25 May 2015 - 28 May 2015, http://dx.doi.org/10.1109/CEC.2015.7257231
2015
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, http://dx.doi.org/10.1109/CEC.2014.6900237
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, http://dx.doi.org/10.1109/CEC.2014.6900345
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, http://dx.doi.org/10.1007/978-3-319-13359-1_40
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, http://dx.doi.org/10.1109/CEC.2014.6900308
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, http://dx.doi.org/10.1109/CEC.2014.6900459
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, http://dx.doi.org/10.1109/CEC.2014.6900351
2014
2013, 'Particle Swarm Optimizer for Constrained Optimization', in 2013 IEEE Congress on Evolutionary Computation, CEC 2013, Cancún, México, pp. 1703 - 1711, presented at 2013 IEEE Congress on Evolutionary Computation, Cancún, México, 20 June 2013 - 23 June 2013, http://dx.doi.org/10.1109/CEC.2013.6557896
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
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, http://dx.doi.org/10.1109/SDE.2013.6601450
2013
2013, 'A Genetic Algorithm for Solving the CEC'2013 Competition Problems on Real-Parameter Optimization', in 2013 IEEE Congress on Evolutionary Computation, CEC 2013, Cancún, México, pp. 356 - 360, presented at 2013 IEEE Congress on Evolutionary Computation, Cancún, México, 20 June 2013 - 23 June 2013, http://dx.doi.org/10.1109/CEC.2013.6557591
2013
Elsayed ; Sarker R; Ray T, 2013, 'Differential Evolution with Automatic Parameter Configuration for Solving the CEC2013 Competition on Real-Parameter Optimization', in 2013 IEEE Congress on Evolutionary Computation, CEC 2013, Cancún, México, pp. 1932 - 1937, presented at 2013 IEEE Congress on Evolutionary Computation, Cancún, México, 20 June 2013 - 23 June 2013, http://dx.doi.org/10.1109/CEC.2013.6557795
2013
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, http://dx.doi.org/10.1109/CEC.2012.6252931
2012
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, http://dx.doi.org/10.1109/CEC.2012.6256110
2012
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, http://dx.doi.org/10.1109/ICCES.2011.6141022
2011
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, http://dx.doi.org/10.1109/CEC.2011.5949945
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, http://dx.doi.org/10.1109/CEC.2011.5949709
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, http://dx.doi.org/10.1109/CEC.2011.5949708
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, http://dx.doi.org/10.1109/CEC.2011.5949732
2011
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, http://dx.doi.org/10.1109/CEC.2011.5949731
2011
Conference Posters
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El-Fiqi H; Campbell B; Elsayed S; Perry A; Singh HK; Hunjet R; Abbass H, 2020, 'A preliminary study towards an improved shepherding model', pp. 75 - 76, http://dx.doi.org/10.1145/3377929.3390067
2020
Edited Books
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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
2022
Gen M; Green D; Katai O; Namatame A; Mckay RI; Sarker R; Zhang B, (eds.), 2009, Intelligent and Evolutionary Systems, Springer, Berlin /Heidelberg
2009
Journal articles
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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
2023
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
2023
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, vol. 17, http://dx.doi.org/10.1016/j.softx.2021.100961
2022
2022, 'Solving a novel multi-divisional project portfolio selection and scheduling problem', Engineering Applications of Artificial Intelligence, 112, pp. 104771 - 104771, http://dx.doi.org/10.1016/j.engappai.2022.104771
2022
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
2022
2022, 'Generating datasets for the project portfolio selection and scheduling problem', Data in Brief, 42, pp. 108208 - 108208, http://dx.doi.org/10.1016/j.dib.2022.108208
2022
2022, 'Revisiting Implicit and Explicit Averaging for Noisy Optimization', IEEE Transactions on Evolutionary Computation, pp. 1 - 1, http://dx.doi.org/10.1109/TEVC.2022.3201090
2022
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
2022
2022, 'A decomposition approach for large-scale non-separable optimization problems', Applied Soft Computing, 115, pp. 108168 - 108168, http://dx.doi.org/10.1016/j.asoc.2021.108168
2022
Ahrari A; Elsayed S; Sarker R; Essam D; Coello CAC, 2021, 'A Novel Parametric benchmark generator for dynamic multimodal optimization', Swarm and Evolutionary Computation, vol. 65, pp. 100924 - 100924, http://dx.doi.org/10.1016/j.swevo.2021.100924
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, vol. 101, http://dx.doi.org/10.1016/j.asoc.2020.107027
2021
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
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, vol. 9, pp. 136647 - 136665, http://dx.doi.org/10.1109/ACCESS.2021.3115768
2021
2021, 'Quantum-Inspired Genetic Algorithm for Resource-Constrained Project-Scheduling', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2021.3062790
2021
Ahrari A; Elsayed S; Sarker R; Essam D; Coello Coello CA, 2021, 'Weighted pointwise prediction method for dynamic multiobjective optimization', Information Sciences, vol. 546, pp. 349 - 367, http://dx.doi.org/10.1016/j.ins.2020.08.015
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, vol. 125, http://dx.doi.org/10.1016/j.cor.2020.105104
2021
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
2021
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, vol. 8, pp. 214658 - 214671, http://dx.doi.org/10.1109/ACCESS.2020.3037325
2020
Meselhi MA; Elsayed SM; Sarker RA; Essam DL, 2020, 'Contribution based co-evolutionary algorithm for large-scale optimization problems', IEEE Access, vol. 8, pp. 203369 - 203381, http://dx.doi.org/10.1109/ACCESS.2020.3036438
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, http://dx.doi.org/10.1109/SSCI47803.2020.9308572
2020
2020, 'Portfolio Optimization for Defence Applications', IEEE Access, 8, pp. 60152 - 60178, http://dx.doi.org/10.1109/ACCESS.2020.2983141
2020
Zaman F; Elsayed S; Sarker R; Essam D, 2020, 'Hybrid evolutionary algorithm for large-scale project scheduling problems', Computers and Industrial Engineering, vol. 146, http://dx.doi.org/10.1016/j.cie.2020.106567
2020
Zaman F; Elsayed SM; Sarker RA; Essam D, 2020, 'Resource Constrained Project Scheduling with Dynamic Disruption Recovery', IEEE Access, vol. 8, pp. 144866 - 144879, http://dx.doi.org/10.1109/ACCESS.2020.3014940
2020
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
2020
2020, 'Evolutionary Framework with Reinforcement Learning-based Mutation Adaptation', IEEE Access, http://dx.doi.org/10.1109/ACCESS.2020.3033593
2020
Elsayed S; Sarker R; Essam D; Coello Coello CA, 2020, 'Evolutionary approach for large-Scale mine scheduling', Information Sciences, vol. 523, pp. 77 - 90, http://dx.doi.org/10.1016/j.ins.2020.02.074
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, vol. 162, http://dx.doi.org/10.1016/j.eswa.2019.113033
2020
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, vol. 23, pp. 247 - 257, http://dx.doi.org/10.1109/TEVC.2018.2848254
2019
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
2019
Zaman F; Elsayed S; Sarker R; Essam D; Coello CAC, 2019, 'Multi-Method based algorithm for multi-objective problems under uncertainty', Information Sciences, vol. 481, pp. 81 - 109, http://dx.doi.org/10.1016/j.ins.2018.12.072
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, vol. 7, pp. 33304 - 33328, http://dx.doi.org/10.1109/ACCESS.2019.2902812
2019
Elsayed S; Sarker R; Coello CC; Ray T, 2018, 'Adaptation of operators and continuous control parameters in differential evolution for constrained optimization', Soft Computing, vol. 22, pp. 6595 - 6616, http://dx.doi.org/10.1007/s00500-017-2712-6
2018
2018, 'Erosion and breaching of coastal barriers in a changing climate: Associated processes and implication for contamination of coastal aquifers', Proceedings of the Coastal Engineering Conference, 36, pp. 107 - 107, http://dx.doi.org/10.9753/icce.v36.papers.107
2018
2018, 'Modelling and mitigation of storm-induced saltwater intrusion: Improvement of the resilience of coastal aquifers against marine floods by subsurface drainage', Environmental Modelling and Software, 100, pp. 252 - 277, http://dx.doi.org/10.1016/j.envsoft.2017.11.030
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, http://dx.doi.org/10.1109/TEVC.2017.2742502
2018
Elsayed S; Sarker R; Ray T; Coello CC, 2017, 'Consolidated optimization algorithm for resource-constrained project scheduling problems', Information Sciences, vol. 418-419, pp. 346 - 362, http://dx.doi.org/10.1016/j.ins.2017.08.023
2017
Sallam KM; Elsayed SM; Sarker RA; Essam DL, 2017, 'Landscape-based adaptive operator selection mechanism for differential evolution', Information Sciences, vol. 418-419, pp. 383 - 404, http://dx.doi.org/10.1016/j.ins.2017.08.028
2017
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
2017
Zaman F; Elsayed SM; Ray T; Sarker RA, 2017, 'Co-evolutionary approach for strategic bidding in competitive electricity markets', Applied Soft Computing Journal, vol. 51, pp. 1 - 22, http://dx.doi.org/10.1016/j.asoc.2016.11.049
2017
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
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, http://dx.doi.org/10.1016/j.asoc.2016.07.009
2017
2017, 'Effect of beach slope and grain-stabilization on coastal sediment transport: An attempt to overcome the erosion overestimation by XBeach', Coastal Engineering, 121, pp. 179 - 196, http://dx.doi.org/10.1016/j.coastaleng.2016.12.009
2017
Zaman MF; Elsayed ; Ray ; Sarker , 2016, 'Configuring two-algorithm-based evolutionary approach for solving dynamic economic dispatch problems', Engineering Applications of Artificial Intelligence, vol. 53, pp. 105 - 125, http://dx.doi.org/10.1016/j.engappai.2016.04.001
2016
Zaman F; Elsayed SM; Ray T; Sarker RA, 2016, 'Evolutionary algorithms for power generation planning with uncertain renewable energy', Energy, vol. 112, pp. 408 - 419, http://dx.doi.org/10.1016/j.energy.2016.06.083
2016
2016, 'Differential evolution framework for big data optimization', Memetic Computing, 8, pp. 17 - 33, http://dx.doi.org/10.1007/s12293-015-0174-x
2016
2016, 'Combined modelling of coastal barrier breaching and induced flood propagation using XBeach', Hydrology, 3, pp. 32 - 32, http://dx.doi.org/10.3390/hydrology3040032
2016
Zaman MF; Elsayed SM; Ray T; Sarker RA, 2016, 'Evolutionary Algorithms for Dynamic Economic Dispatch Problems', IEEE Transactions on Power Systems, vol. 31, pp. 1486 - 1495, http://dx.doi.org/10.1109/TPWRS.2015.2428714
2016
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
2015
Sayed E; Essam D; Sarker R; Elsayed S, 2015, 'Decomposition-based evolutionary algorithm for large scale constrained problems', Information Sciences, vol. 316, pp. 457 - 486, http://dx.doi.org/10.1016/j.ins.2014.10.035
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, http://dx.doi.org/10.1016/j.asoc.2014.10.011
2015
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
2015
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
2015
Sarker RA; Elsayed SM; Ray T, 2014, 'Differential evolution with dynamic parameters selection for optimization problems', IEEE Transactions on Evolutionary Computation, vol. 18, pp. 689 - 707, http://dx.doi.org/10.1109/TEVC.2013.2281528
2014
2014, 'A constraint consensus memetic algorithm for solving constrained optimization problems', Engineering Optimization, 46, pp. 1447 - 1464, http://dx.doi.org/10.1080/0305215X.2013.846336
2014
2014, 'A new genetic algorithm for solving optimization problems', Engineering Applications of Artificial Intelligence, 27, pp. 57 - 69, http://dx.doi.org/10.1016/j.engappai.2013.09.013
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, http://dx.doi.org/10.1016/j.amc.2014.05.018
2014
2014, 'Self-adaptive mix of particle swarm methodologies for constrained optimization', Information Sciences, 277, pp. 216 - 233, http://dx.doi.org/10.1016/j.ins.2014.01.051
2014
Elsayed ; Sarker R; Essam D, 2013, 'Self-adaptive differential evolution incorporating a heuristic mixing of operators', Computational Optimization and Applications, vol. 54, pp. 771 - 790, http://dx.doi.org/10.1007/s10589-012-9493-8
2013
Elsayed SM; Sarker RA; Essam DL, 2013, 'Adaptive Configuration of evolutionary algorithms for constrained optimization', Applied Mathematics and Computation, 222, pp. 680 - 711, http://dx.doi.org/10.1016/j.amc.2013.07.068
2013
Elsayed ; Sarker R; Essam D, 2013, 'An improved self-adaptive differential evolution algorithm for optimization problems', IEEE Transactions on Industrial Informatics, vol. 9, pp. 89 - 99, http://dx.doi.org/10.1109/TII.2012.2198658
2013
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, vol. 7673, pp. 1 - 11, http://dx.doi.org/10.1007/978-3-642-34859-4_1
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), vol. 12, pp. 3208 - 3227, http://dx.doi.org/10.1016/j.asoc.2012.05.013
2012
Elsayed ; Sarker R; Essam D, 2011, 'Multi-operator based evolutionary algorithms for solving constrained optimization problems', Computers and Operations Research, vol. 38, pp. 1877 - 1896, http://dx.doi.org/10.1016/j.cor.2011.03.003
2011
Elsayed ; Sarker R; Essam D, 2010, 'A Three-Strategy Based Differential Evolution Algorithm for Constrained Optimization', Neural Information Processing. Theory and Algorithms, vol. 6443 LNCS, pp. 585 - 592, http://dx.doi.org/10.1007/978-3-642-17537-4_71
2010
2010, 'A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization', Simulated Evolution and Learning, 6457 LNCS, pp. 177 - 186, http://dx.doi.org/10.1007/978-3-642-17298-4_18
2010

MEDIA RESEARCH ENGAGEMENT
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Selected 

  • Editorial board member- Alexandria Engineering Journal

  • Member of the IEEE Computational Intelligence Society Summer School subcommittee

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

More can be found on https://www.saberelsayed.com/professional-engagements 

AWARDS
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  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’s Competition “Real-Parameter Numerical Optimization".
  7. Winner of the IEEE-CEC2016’s Competition “Real-Parameter Numerical Optimization".
  8. Winner of the IEEE-CEC2014’s Competition “Real-Parameter Numerical Optimization".
  9. UNSW Publication Fellowship (SEIT, UNSW Canberra)
  10. Winner of the IEEE-CEC2011’s Competition “Testing Evolutionary Algorithms on Real-world Numerical Optimization Problems”
  11. High Impact Journal Publications (as a top-up scholarship, (SEIT, UNSW Canberra), 2011
  12. Postgraduate Research Support Scheme (PRSS) funding, 2011

GRANTS
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  1. Development of Portfolio Optimisation Heuristics (DSTG, 2021-23, $156K)
  2. Co-evolutionary Computational Intelligence (DSTG, 2020-22, $196K)
  3. Smart Shepherding for UxV Swarm Control (DSTG, 2021-22, $160K)
  4. Distributed Symbolic-Non-Symbolic Context-Aware Swarm Logics (Office of Naval Research Global, 2019-21, $625K)
  5. Intelligent Algorithms for Portfolio Selection in Future Force Design (DSTG, 2019-21, $320K)
  6. Evolutionary Frameworks for Dynamic Big Optimisation Problems, UNSW Rector’s start-up grant, $50K
  7. Distributed Context-Awareness for Multi-Agent Systems and its Application to Military Land Vehicles (DSTG, 2018, $20K)
  8. Distributed Symbolic-Non-Symbolic Context-Aware Swarm Logics (DSTG, 2018, $5,750)
  9. Development of Parallel Evolutionary Algorithms for Big Optimisation Problems, NVIDIA GPU Grant (2017, Nvidia Titan Xp graphics card ~=A$1950)
  10. Intrusion Detection with Evolutionary Algorithms, the Australian Centre for Cyber Security Research Funding Program (2015, A$50K).

AREA OF EXPERTISE
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Evolutionary Computation; Swarm Control; Planning and Scheduling

 

Sub Theme
lensOptimization & Design
lensTrusted Autonomy