Dr Saber Elsayed

Lecturer
School of Engineering and Information Technology
+61 2 6268 8817
+61 2 626 88276

LOCATION

Room 115, B15

  • ABOUT
  • PUBLICATIONS

I am a Lecturer at the School of Engineering and Information Technology (SEIT), University of New South Wales (UNSW) Canberra, Australia. I was awarded a Ph.D. degree in Computer Science from the UNSW Canberra, in 2012. From 2012-2017, I was a Research Associate then a Research Fellow.

 

My research interests include the areas of evolutionary algorithms, constrained and unconstrained optimisation, scheduling, multi-objective optimisation, big data and cyber-security using computational intelligence.

 

I the winner of the "IEEE-CEC2011’s Competition Testing Evolutionary Algorithms on Real-world Numerical Optimization Problems” and the "IEEE-CEC2016’s Competition on Real Parameter Single Objective Optimization”. I am an editorial board member of the International Journal of Business Intelligence and Data Mining. I was one of two Program Chairs of the 20th Asia-Pacific Symposium on Intelligent and Evolutionary Systems (Canberra, Australia). I am serving as a reviewer for several international journals including the top-tier ones in the field. I was also a member of the program committee of several international conferences.

 

Teaching experience:

Data Structure and Representation

Introduction to Programming

 

Book Chapters

Elsayed S; Zaman MF; Sarker R, 2016, 'Automated Differential Evolution for Solving Dynamic Economic Dispatch Problems', in Lavangnananda K; PhonAmnuaisuk S; Engchuan W; Chan JH (ed.), INTELLIGENT AND EVOLUTIONARY SYSTEMS, IES 2015, edn. Proceedings in Adaptation Learning and Optimization, SPRINGER INT PUBLISHING AG, King Mongkuts Univ Technol Thonburi, Sch Informat Technol, Bangkok, THAILAND, pp. 357 - 369, 10.1007/978-3-319-27000-5_29

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, 10.1007/978-3-319-13359-1

Journal articles

Elsayed S; Sarker R; Coello Coello CA, 2019, 'Fuzzy rule-based design of evolutionary algorithm for optimization', IEEE Transactions on Cybernetics, vol. 49, pp. 301 - 314, 10.1109/TCYB.2017.2772849

Zaman F; Elsayed SM; Sarker R; Essam D; Coello Coello CA, 2019, 'Multi-Method based algorithm for multi-objective problems under uncertainty', Information Sciences, vol. 481, pp. 81 - 109, 10.1016/j.ins.2018.12.072

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, 10.1007/s00500-017-2712-6

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

Liu C; Zhao Q; Yan B; Elsayed S; Ray T; Sarker R, 2018, 'Adaptive Sorting-based Evolutionary Algorithm for Many-Objective Optimization', IEEE Transactions on Evolutionary Computation, 10.1109/TEVC.2018.2848254

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, vol. 56, pp. 717 - 729, 10.1016/j.asoc.2016.07.009

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

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

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, 10.1016/j.ins.2017.08.028

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, 10.1016/j.ins.2017.08.023

Elsayed S; Sarker R, 2016, 'Differential evolution framework for big data optimization', Memetic Computing, pp. 1 - 17, 10.1007/s12293-015-0174-x

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

Zaman F; Elsayed SM; Ray T; Sarker RA, 2016, 'Configuring two-algorithm-based evolutionary approach for solving dynamic economic dispatch problems', Engineering Applications of Artificial Intelligence, vol. 53, pp. 105 - 125, 10.1016/j.engappai.2016.04.001

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, 10.1016/j.energy.2016.06.083

Elsayed SM; Sarker RA; Essam DL, 2015, 'Training and testing a self-adaptive multi-operator evolutionary algorithm for constrained optimization', Applied Soft Computing Journal, vol. 26, pp. 515 - 522, 10.1016/j.asoc.2014.10.011

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, 10.1016/j.ins.2014.10.035

Mabrok MA; Elsayed S; Ryan MJ, 2015, 'Mathematical framework for recursive model-based system design', Nonlinear Dynamics, 10.1007/s11071-015-2418-1

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, vol. 14, 10.1142/S146902681550025X

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

Elsayed SM; Sarker RA; Mezura-Montes E, 2014, 'Self-adaptive mix of particle swarm methodologies for constrained optimization', Information Sciences, vol. 277, pp. 216 - 233, 10.1016/j.ins.2014.01.051

Elsayed SM; Sarker RA; Essam DL, 2014, 'A self-adaptive combined strategies algorithm for constrained optimization using differential evolution', Applied Mathematics and Computation, vol. 241, pp. 267 - 282, 10.1016/j.amc.2014.05.018

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, 10.1109/TEVC.2013.2281528

Simpson AR; Zecchin AC; Maier HR; Wu ZY; Elsayed SM; Song Y; Walski T; Stokes C; Wu W; Dandy GC, 2014, 'Battle of the Water Networks II', Journal of Water Resources Planning and Management, vol. 140, 10.1061/(ASCE)WR.1943-5452.0000378

Elsayed SM; Sarker RA; Essam DL, 2013, 'Self-adaptive differential evolution incorporating a heuristic mixing of operators', Computational Optimization and Applications, vol. 54, pp. 771 - 790, 10.1007/s10589-012-9493-8

Elsayed SM; Sarker RA; Essam DL, 2013, 'An improved self-adaptive differential evolution algorithm for optimization problems', IEEE Transactions on Industrial Informatics, vol. 9, pp. 89 - 99, 10.1109/TII.2012.2198658

Elsayed SM; Sarker RA; Essam DL, 2013, 'Adaptive Configuration of evolutionary algorithms for constrained optimization', Applied Mathematics and Computation, vol. 222, pp. 680 - 711, 10.1016/j.amc.2013.07.068

Elsayed SM; Sarker RA; Essam DL, 2013, 'A new genetic algorithm for solving optimization problems', Engineering Applications of Artificial Intelligence, 10.1016/j.engappai.2013.09.013

Hamza NM; Sarker RA; Essam DL; Elsayed SM; Deb K, 2013, 'A constraint consensus memetic algorithm for solving constrained optimization problems', Engineering Optimization, 10.1080/0305215X.2013.846336

Elsayed SM; Sarker RA; Essam DL, 2012, 'The influence of the number of initial feasible solutions on the performance of an evolutionary optimization algorithm', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7673 LNCS, pp. 1 - 11, 10.1007/978-3-642-34859-4_1

Elsayed SM; Sarker RA; Essam DL, 2012, 'On an evolutionary approach for constrained optimization problem solving', Applied Soft Computing Journal, vol. 12, pp. 3208 - 3227, 10.1016/j.asoc.2012.05.013

Elsayed SM; Sarker RA; Essam DL, 2011, 'Multi-operator based evolutionary algorithms for solving constrained optimization problems', Computers and Operations Research, vol. 38, pp. 1877 - 1896, 10.1016/j.cor.2011.03.003

Elsayed SM; Sarker RA; Essam DL, 2010, 'A three-strategy based differential evolution algorithm for constrained optimization', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6443 LNCS, pp. 585 - 592, 10.1007/978-3-642-17537-4_71

Elsayed SM; Sarker RA; Essam DL, 2010, 'A comparative study of different variants of genetic algorithms for constrained optimization', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6457 LNCS, pp. 177 - 186, 10.1007/978-3-642-17298-4_18

Conference Papers

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, presented at , 10.1109/SKIMA.2017.8294137

Sarker R, 2018, 'Scenario-Based Solution Approach for Uncertain Resource Constrained Scheduling Problems', in 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings, presented at , 10.1109/CEC.2018.8477756

Sarker R, 2018, 'Landscape-Based Differential Evolution for Constrained Optimization Problems', in 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings, presented at , 10.1109/CEC.2018.8477900

Sarker R, 2018, 'Improved United Multi-Operator Algorithm for Solving Optimization Problems', in 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings, presented at , 10.1109/CEC.2018.8477759

Zaman F; Elsayed S; Sarker R; Essam D, 2018, 'A New Hybrid Approach for the Multimode Resource-Constrained Project Scheduling Problems', in A New Hybrid Approach for the Multimode Resource-Constrained Project Scheduling Problems, The 48th International Conference on Computers and Industrial Engineering (CIE 48),, 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 - 05 December 2018

Sarker R, 2018, 'Enhanced differential grouping for large scale optimization', in IJCCI 2018 - Proceedings of the 10th International Joint Conference on Computational Intelligence, pp. 217 - 224, presented at

Aguilar-Justo AE; Mezura-Montes E; Elsayed SM; Sarker RA, 2017, 'Decomposition of large-scale constrained problems using a genetic-based search', in 2016 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2016, presented at , 10.1109/ROPEC.2016.7830614

Sallam KM; Elsayed SM; Sarker RA; Essam DL, 2017, 'Two-phase differential evolution framework for solving optimization problems', in 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, presented at , 10.1109/SSCI.2016.7850258

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, pp. 1350 - 1357, presented at , 10.1109/CEC.2017.7969461

Zaman F; Elsayed SM; Ray T; Sarker RA, (eds.), 2017, 'An Evolutionary Framework for Bi-objective Dynamic Economic and Environmental Dispatch Problems', in INTELLIGENT AND EVOLUTIONARY SYSTEMS, IES 2016, SPRINGER INT PUBLISHING AG, 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, 10.1007/978-3-319-49049-6_36

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, presented at , 10.1007/978-3-319-28270-1_7

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), pp. 209 - 220, presented at , 10.1007/978-3-319-28270-1_18

Zaman MF; Elsayed SM; Ray T; Sarker RA, 2016, 'A double action genetic algorithm for scheduling the wind-thermal generators', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 258 - 269, presented at , 10.1007/978-3-319-28270-1_22

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, presented at , 10.1007/978-3-319-28270-1_23

Zaman MF; Elsayed SM; Ray T; Sarker RA, 2016, 'A co-evolutionary approach for optimal bidding strategy of multiple electricity suppliers', in 2016 IEEE Congress on Evolutionary Computation, CEC 2016, pp. 3507 - 3514, presented at , 10.1109/CEC.2016.7744234

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, presented at , 10.1109/CEC.2016.7744322

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, presented at , 10.1109/CEC.2016.7744164

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 - 28 May 2015

Sallam KM; Sarker RA; Essam DL; Elsayed SM, 2015, 'Neurodynamic differential evolution algorithm and solving CEC2015 competition problems', in 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, pp. 1033 - 1040, presented at , 10.1109/CEC.2015.7257003

Ali IM; Elsayed SM; Ray T; Sarker RA, 2015, 'Memetic algorithm for solving resource constrained project scheduling problems', in 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, pp. 2761 - 2767, presented at , 10.1109/CEC.2015.7257231

Elsayed S; Sarker R; Slay J, 2015, 'Evaluating the performance of a differential evolution algorithm in anomaly detection', in 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, pp. 2490 - 2497, presented at , 10.1109/CEC.2015.7257194

Zaman MF; Elsayed SM; Ray T; Sarker RA, 2015, 'An evolutionary approach for scheduling solar-thermal power generation system', in Proceedings - CIE 45: 2015 International Conference on Computers and Industrial Engineering, presented at

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, presented at , 10.1109/CEC.2014.6900237

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, presented at , 10.1109/CEC.2014.6900459

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, presented at , 10.1109/CEC.2014.6900345

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, presented at , 10.1109/CEC.2014.6900308

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, presented at , 10.1109/CEC.2014.6900351

Elsayed SM; Sarker RA; Essam DL, 2013, 'A genetic algorithm for solving the CEC'2013 competition problems on real-parameter optimization', in 2013 IEEE Congress on Evolutionary Computation, CEC 2013, pp. 356 - 360, presented at , 10.1109/CEC.2013.6557591

Elsayed SM; Sarker RA; 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, pp. 1932 - 1937, presented at , 10.1109/CEC.2013.6557795

Elsayed SM; Sarker RA; Mezura-Montes E, 2013, 'Particle swarm optimizer for constrained optimization', in 2013 IEEE Congress on Evolutionary Computation, CEC 2013, pp. 2703 - 2711, presented at , 10.1109/CEC.2013.6557896

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 - 19 April 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, presented at , 10.1109/SDE.2013.6601450

Elsayed SM; Sarker RA; Essam DL, 2012, 'Memetic multi-topology particle swarm optimizer for constrained optimization', in 2012 IEEE Congress on Evolutionary Computation, CEC 2012, presented at , 10.1109/CEC.2012.6256110

Elsayed SM; Sarker RA; Ray T, 2012, 'Parameters adaptation in differential evolution', in 2012 IEEE Congress on Evolutionary Computation, CEC 2012, presented at , 10.1109/CEC.2012.6252931

Elsayed SM; Sarker RA; Essam DL, 2011, 'Improved genetic algorithm for constrained optimization', in Proceedings - ICCES'2011: 2011 International Conference on Computer Engineering and Systems, pp. 111 - 115, presented at , 10.1109/ICCES.2011.6141022

Elsayed SM; Sarker RA; Essam DL, 2011, 'GA with a new multi-parent crossover for constrained optimization', in 2011 IEEE Congress of Evolutionary Computation, CEC 2011, pp. 857 - 864, presented at , 10.1109/CEC.2011.5949708

Hamza NM; Elsayed SM; Essam DL; Sarker RA, 2011, 'Differential evolution combined with constraint consensus for constrained optimization', in 2011 IEEE Congress of Evolutionary Computation, CEC 2011, pp. 865 - 872, presented at , 10.1109/CEC.2011.5949709

Elsayed SM; Sarker RA; Essam DL, 2011, 'Integrated strategies differential evolution algorithm with a local search for constrained optimization', in 2011 IEEE Congress of Evolutionary Computation, CEC 2011, pp. 2618 - 2625, presented at , 10.1109/CEC.2011.5949945

Elsayed SM; Sarker RA; Essam DL, 2011, 'GA with a new multi-parent crossover for solving IEEE-CEC2011 competition problems', in 2011 IEEE Congress of Evolutionary Computation, CEC 2011, pp. 1034 - 1040, presented at , 10.1109/CEC.2011.5949731

Elsayed SM; Sarker RA; Essam DL, 2011, 'Differential evolution with multiple strategies for solving CEC2011 real-world numerical optimization problems', in 2011 IEEE Congress of Evolutionary Computation, CEC 2011, pp. 1041 - 1048, presented at , 10.1109/CEC.2011.5949732