Select Publications
Journal articles
2024, 'A novel heuristic algorithm for disruption mitigation in a global food supply chain', Computers and Industrial Engineering, 194, http://dx.doi.org/10.1016/j.cie.2024.110334
,2024, 'Multiple landscape measure-based approach for dynamic optimization problems', Swarm and Evolutionary Computation, 88, pp. 101578 - 101578, http://dx.doi.org/10.1016/j.swevo.2024.101578
,2024, 'Large-scale evolutionary optimization: A review and comparative study', Swarm and Evolutionary Computation, 85, http://dx.doi.org/10.1016/j.swevo.2023.101466
,2024, 'Demand fulfillment and availability analysis of a multi-state production system considering spare part inventory policy', Cogent Engineering, 11, http://dx.doi.org/10.1080/23311916.2024.2329475
,2024, 'Integrating production, replenishment and fulfillment decisions for supply chains: a target-based robust optimisation approach', International Journal of Production Research, 62, pp. 4494 - 4529, http://dx.doi.org/10.1080/00207543.2023.2266063
,2024, 'Robust optimization approaches in inventory management: Part A—the survey', IISE Transactions, http://dx.doi.org/10.1080/24725854.2024.2381713
,2024, 'Robust optimization approaches in inventory management: Part B - the comparative study', IISE Transactions, http://dx.doi.org/10.1080/24725854.2024.2381727
,2023, 'EV Hosting Capacity Enhancement in a Community Microgrid Through Dynamic Price Optimization-Based Demand Response', IEEE Transactions on Cybernetics, 53, pp. 7431 - 7442, http://dx.doi.org/10.1109/TCYB.2022.3196651
,2023, 'Revisiting Implicit and Explicit Averaging for Noisy Optimization', IEEE Transactions on Evolutionary Computation, 27, pp. 1250 - 1259, http://dx.doi.org/10.1109/TEVC.2022.3201090
,2023, 'EEvoU-Net: An ensemble of evolutionary deep fully convolutional neural networks for medical image segmentation', Applied Soft Computing, 143, http://dx.doi.org/10.1016/j.asoc.2023.110405
,2023, 'Solving electric vehicle–drone routing problem using memetic algorithm', Swarm and Evolutionary Computation, 79, http://dx.doi.org/10.1016/j.swevo.2023.101295
,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, 'A novel heuristic approach for planning decentralised supply chain under uncertainties', International Journal of Systems Science: Operations and Logistics, 10, http://dx.doi.org/10.1080/23302674.2023.2258778
,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, '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
,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, '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
,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
,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
,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
,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, 'A decomposition approach for large-scale non-separable optimization problems', Applied Soft Computing, 115, http://dx.doi.org/10.1016/j.asoc.2021.108168
,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
,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
,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
,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
,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
,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, '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
,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, '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
,2021, 'Real-time scheduling of community microgrid', Journal of Cleaner Production, 286, http://dx.doi.org/10.1016/j.jclepro.2020.125419
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,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
,2020, 'Heuristic enhanced evolutionary algorithm for community microgrid scheduling', IEEE Access, 8, pp. 76500 - 76515, http://dx.doi.org/10.1109/ACCESS.2020.2989795
,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, 'Portfolio Optimization for Defence Applications', IEEE Access, 8, pp. 60152 - 60178, http://dx.doi.org/10.1109/ACCESS.2020.2983141
,2020, 'Resource Constrained Project Scheduling with Dynamic Disruption Recovery', IEEE Access, 8, pp. 144866 - 144879, http://dx.doi.org/10.1109/ACCESS.2020.3014940
,2020, 'Sensitivity-Based Change Detection for Dynamic Constrained Optimization', IEEE Access, 8, pp. 103900 - 103912, http://dx.doi.org/10.1109/ACCESS.2020.2999161
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