By Dr Daryl Essam

Book Chapters

Ahmed S; Chakrabortty R; Essam D, 2024, 'Predictive big data analytics for supply chain demand forecasting', in Paul SK; Kautish S (ed.), Computational Intelligence Techniques for Sustainable Supply Chain Management, Academic Press, Elsevier, pp. 301 - 330, http://dx.doi.org/10.1016/B978-0-443-18464-2.00011-X

Haque M; Paul SK; Sarker R; Essam D, 2023, 'A Review on Uncertainty Modeling for Decentralized Supply Chain Systems', in Flexible Systems Management, Springer Nature Singapore, pp. 23 - 50, http://dx.doi.org/10.1007/978-981-99-2629-9_2

Ahrari A; Essam D, 2022, 'An Introduction to Evolutionary and Memetic Algorithms for Parameter Optimization', in Sarker R (ed.), Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling., Springer Nature, pp. 37 - 63, http://dx.doi.org/10.1007/978-3-030-88315-7_3

Samavati M; Essam DL; Nehring M; Sarker R, 2018, 'Open-Pit Mine Production Planning and Scheduling: A Research Agenda', in Sarker R; Abbass HA; Dunstall S; Kilby P; Davis R; Young L (ed.), , SPRINGER INTERNATIONAL PUBLISHING AG, pp. 221 - 226, http://dx.doi.org/10.1007/978-3-319-55914-8_16

Chakrabortty R; Sarker R; Essam D, 2018, 'A Comparative Study of Different Integer Linear Programming Approaches for Resource-Constrained Project Scheduling Problems', in Data and Decision Sciences in Action, Lecture Notes in Management and Industrial Engineering, Springer, Cham, pp. 227 - 242, http://dx.doi.org/10.1007/978-3-319-55914-8_17

Chakrabortty RK; Sarker ; Essam , 2017, 'Resource Constrained Multi-project Scheduling: A Priority Rule Based Evolutionary Local Search Approach', in Intelligent and Evolutionary Systems, Springer, Canberra, Australia, pp. 75 - 86, http://dx.doi.org/10.1007/978-3-319-49049-6_6

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, https://link.springer.com/content/pdf/10.1007%2F978-3-319-49049-6.pdf

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, http://dx.doi.org/10.1007/978-3-319-28270-1_23

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, http://dx.doi.org/10.1007/978-3-642-34859-4_1

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, http://dx.doi.org/10.1007/978-3-642-17298-4_18

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, http://dx.doi.org/10.1007/978-3-642-17537-4_71

Bui LT; Essam D; Abbass HA, 2010, 'The Role of Explicit Niching and Communication Messages in Distributed Evolutionary Multi-objective Optimization', in Vega FFD; Cantú-Paz E (ed.), Parallel and Distributed Computational Intelligence, Springer, pp. 181 - 206, http://dx.doi.org/10.1007/978-3-642-10675-0

Hasan SM; Sarker R; Essam D; Cornforth DJ, 2009, 'A Genetic Algorithm with Priority Rules for Solving Job-Shop Scheduling Problems', in Chiong R; Dhakal S (ed.), Natural Intelligence for Scheduling, Planning and Packing Problems, Springer, Berlin / Heidelberg, pp. 55 - 88, http://dx.doi.org/10.1007/978-3-642-04039-9_3

Abbass HA; Essam D, 2006, 'Chapter I: All Hazards Analysis: A Complexity Perspective', in Abbass H; Essam D (ed.), Applications of Information Systems to Homeland Security and Defense, Idea Group Publishing, Hershey PA, USA: London, UK, pp. 1 - 16

Essam D; Abbass HA, 2005, 'All hazards analysis: A complexity perspective', in Applications of Information Systems to Homeland Security and Defense, pp. 1 - 16, http://dx.doi.org/10.4018/978-1-59140-640-2.ch001

Bui LT; Abbass HA; Essam D, 2005, 'Cooperative Coevolution of Genotype-Phenotype Mappings to Solve Epistatic Optimization Problems', in Abbass HA; Bossmaier T; Wiles J (ed.), Recent Advances in Artificial Life - Advances in Natural Computation - Vol. 3, World Scientific Publishing, Singapore, pp. 29 - 42, http://dx.doi.org/10.1142/9789812701497_0003

Mckay RI; Essam D; Nguyen XH, 2004, 'Finding Trigonometric Identities with Tree Adjunct Grammar Guided Genetic Programming', in Abraham A; Jain LC; van Der Zwaag BJ (ed.), Innovations in Intelligent Systems, Springer-Verlag, Heidelberg, pp. 221 - 234

Edited Books

abbass ; essam , (ed.), 2006, Applications of Information Systems to Homeland Security And Defense, Igi Global

Journal articles

Ahmed S; Chakrabortty RK; Essam DL; Ding W, 2024, 'A switching based forecasting approach for forecasting sales data in supply chains', Applied Soft Computing, 167, http://dx.doi.org/10.1016/j.asoc.2024.112419

Bakhshi Sasi M; Sarker RA; Essam DL, 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

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, http://dx.doi.org/10.1016/j.swevo.2024.101578

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, http://dx.doi.org/10.1016/j.swevo.2023.101466

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, http://dx.doi.org/10.1109/TITS.2024.3467219

Zhang D; Turan HH; Sarker R; Essam D, 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

Zhang D; Turan HH; Sarker R; Essam D, 2024, 'Robust optimization approaches in inventory management: Part A—the survey', IISE Transactions, http://dx.doi.org/10.1080/24725854.2024.2381713

Zhang D; Turan HH; Sarker R; Essam D, 2024, 'Robust optimization approaches in inventory management: Part B - the comparative study', IISE Transactions, http://dx.doi.org/10.1080/24725854.2024.2381727

Sarfaraz A; Chakrabortty RK; Essam DL, 2023, 'AccessChain: An access control framework to protect data access in blockchain enabled supply chain', Future Generation Computer Systems, 148, pp. 380 - 394, http://dx.doi.org/10.1016/j.future.2023.06.009

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, http://dx.doi.org/10.1109/TEVC.2022.3201090

Hassanzadeh T; Essam D; Sarker R, 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

Sarfaraz A; Chakrabortty RK; Essam DL, 2023, 'Reputation based proof of cooperation: an efficient and scalable consensus algorithm for supply chain applications', Journal of Ambient Intelligence and Humanized Computing, 14, pp. 7795 - 7811, http://dx.doi.org/10.1007/s12652-023-04592-y

Mara STW; Sarker R; Essam D; Elsayed S, 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

Hamza N; Sarker R; Essam D; Elsayed S, 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

Haque M; Paul SK; Sarker R; Essam D, 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

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

Liu L; Essam D; Lynar T, 2022, 'Complexity Measures for IoT Network Traffic', IEEE Internet of Things Journal, 9, pp. 25715 - 25735, http://dx.doi.org/10.1109/JIOT.2022.3197323

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

Sarfaraz A; Chakrabortty RK; Essam DL, 2022, 'The implications of blockchain-coordinated information sharing within a supply chain: A simulation study', Blockchain Research and Applications, pp. 100110 - 100110, http://dx.doi.org/10.1016/j.bcra.2022.100110

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

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, pp. 100961, http://dx.doi.org/10.1016/j.softx.2021.100961

Ahmed SS; Chakrabortty RK; Essam DL; Ding W, 2022, 'Poly-linear regression with augmented long short term memory neural network: Predicting time series data', Information Sciences, 606, pp. 573 - 600, http://dx.doi.org/10.1016/j.ins.2022.05.078

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

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, http://dx.doi.org/10.1016/j.swevo.2021.100924

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

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

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