Select Publications

Journal articles

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

Siswanto N; Kusumawati M; Baihaqy AR; Wiratno SE; Sarker R, 2023, 'New Approach for Evaluating Berth Allocation Procedures Using Discrete Event Simulation to Reduce Total Port Handling Costs', Operations and Supply Chain Management, 16, pp. 535 - 553, http://dx.doi.org/10.31387/oscm0550410

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

Haque M; Paul SK; Sarker R; Essam D, 2022, 'A combined approach for modeling multi-echelon multi-period decentralized supply chain', Annals of Operations Research, 315, pp. 1665 - 1702, http://dx.doi.org/10.1007/s10479-021-04121-0

Hassanzadeh T; Essam D; Sarker R, 2022, 'EvoDCNN: An evolutionary deep convolutional neural network for image classification', Neurocomputing, 488, pp. 271 - 283, http://dx.doi.org/10.1016/j.neucom.2022.02.003

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

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

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

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

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

Hassanzadeh T; Essam D; Sarker R, 2021, 'Evolutionary Deep Attention Convolutional Neural Networks for 2D and 3D Medical Image Segmentation', Journal of Digital Imaging, 34, pp. 1387 - 1404, http://dx.doi.org/10.1007/s10278-021-00526-2

Akl AM; Sarker RA; Essam DL, 2021, 'A Two-stage Simulation Assisted Differential Evolution Algorithm for Reliable Chance Constrained Programming with Minimum Risk Level', Applied Soft Computing, 111, http://dx.doi.org/10.1016/j.asoc.2021.107637

Rana MJ; Rahi KH; Ray T; Sarker R, 2021, 'An efficient optimization approach for flexibility provisioning in community microgrids with an incentive-based demand response scheme', Sustainable Cities and Society, 74, http://dx.doi.org/10.1016/j.scs.2021.103218

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

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

Siswanto N; Kurniawati U; Latiffianti E; Rusdiansyah A; Sarker R, 2021, 'A Simulation study of sea transport based fertilizer product considering disruptive supply and congestion problems (vol 34, pg 269, 2018)', ASIAN JOURNAL OF SHIPPING AND LOGISTICS, 37, pp. 210 - 210, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000653411200052&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

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

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

Rana MJ; Zaman F; Ray T; Sarker R, 2021, 'Real-time scheduling of community microgrid', Journal of Cleaner Production, 286, http://dx.doi.org/10.1016/j.jclepro.2020.125419

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

Hassanzadeh T; Essam D; Sarker R, 2021, '2D to 3D Evolutionary Deep Convolutional Neural Networks for Medical Image Segmentation', IEEE Transactions on Medical Imaging, 40, pp. 712 - 721, http://dx.doi.org/10.1109/TMI.2020.3035555

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

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

Mahmud F; Zaman F; Ahrari A; Sarker R; Essam D, 2021, 'Genetic Algorithm for Singular Resource Constrained Project Scheduling Problems', IEEE Access, 9, pp. 131767 - 131779, http://dx.doi.org/10.1109/ACCESS.2021.3114702

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

Haque M; Paul SK; Sarker R; Essam D, 2020, 'Managing decentralized supply chain using bilevel with Nash game approach', Journal of Cleaner Production, 266, http://dx.doi.org/10.1016/j.jclepro.2020.121865

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

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

Darom NAM; Hishamuddin H; Ramli R; Nopiah ZM; Sarker RA, 2020, 'Investigation of Disruption Management Practices and Environmental Impact on Malaysian Automotive Supply Chains: A Case Study Approach', JURNAL KEJURUTERAAN, 32, pp. 341 - 348, http://dx.doi.org/10.17576/jkukm-2020-32(2)-19

Samavati M; Essam D; Nehring M; Sarker R, 2020, 'Production planning and scheduling in mining scenarios under IPCC mining systems', Computers and Operations Research, 115, http://dx.doi.org/10.1016/j.cor.2019.05.019

Hassanzadeh T; Essam D; Sarker R, 2020, 'An Evolutionary DenseRes Deep Convolutional Neural Network for Medical Image Segmentation', IEEE Access, 8, pp. 212298 - 212314, http://dx.doi.org/10.1109/ACCESS.2020.3039496

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

Rana MJ; Zaman F; Ray T; Sarker R, 2020, 'Heuristic enhanced evolutionary algorithm for community microgrid scheduling', IEEE Access, 8, pp. 76500 - 76515, http://dx.doi.org/10.1109/ACCESS.2020.2989795

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

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

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

Hamza N; Sarker R; Essam D, 2020, 'Sensitivity-Based Change Detection for Dynamic Constrained Optimization', IEEE Access, 8, pp. 103900 - 103912, http://dx.doi.org/10.1109/access.2020.2999161

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

Akl AM; Sarker RA; Essam DL, 2019, 'Adaptive simulation budget allocation in Simulation assisted Differential Evolution algorithm', Applied Soft Computing Journal, 83, pp. 105678, http://dx.doi.org/10.1016/j.asoc.2019.105678

Paul SK; Sarker R; Essam D; Lee PTW, 2019, 'A mathematical modelling approach for managing sudden disturbances in a three-tier manufacturing supply chain', Annals of Operations Research, 280, pp. 299 - 335, http://dx.doi.org/10.1007/s10479-019-03251-w

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

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

Siswanto N; Wiratno SE; Rusdiansyah A; Sarker R, 2019, 'Maritime inventory routing problem with multiple time windows', Journal of Industrial and Management Optimization, 15, pp. 1185 - 1211, http://dx.doi.org/10.3934/jimo.2018091

Samavati M; Essam D; Nehring M; Sarker R, 2018, 'A new methodology for the open-pit mine production scheduling problem', Omega (United Kingdom), 81, pp. 169 - 182, http://dx.doi.org/10.1016/j.omega.2017.10.008

Siswanto N; Kurniawati U; Latiffianti E; Rusdiansyah A; Sarker R, 2018, 'A Simulation study of sea transport based fertilizer product considering disruptive supply and congestion problems', Asian Journal of Shipping and Logistics, 34, pp. 269 - 278, http://dx.doi.org/10.1016/j.ajsl.2018.08.001

Paul SK; Sarker R; Essam D, 2018, 'A reactive mitigation approach for managing supply disruption in a three-tier supply chain', Journal of Intelligent Manufacturing, 29, pp. 1581 - 1597, http://dx.doi.org/10.1007/s10845-016-1200-7

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

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

Rahman HF; Sarker R; Essam D; Rahman MHF, 2018, 'Multiple-order permutation flow shop scheduling under process interruptions', International Journal of Advanced Manufacturing Technology, 97, pp. 2781 - 2808, http://dx.doi.org/10.1007/s00170-018-2146-z

Sarker R, 2018, 'Near-optimal heuristics for just-in-time jobs maximization in flow shop scheduling', Algorithms, 11, http://dx.doi.org/10.3390/a11040043


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