By Professor Ruhul Sarker

Book Chapters

Abbass HA; Newton CS; Sarker R; Taniar D; Rahayu JW, 2002, 'Parallel Data Mining', in Data Mining, IGI Global, pp. 261 - 289, http://dx.doi.org/10.4018/978-1-930708-25-9.ch013

Abbass HA; Newton CS; Sarker R; de la Iglesia B; Rayward-Smith VJ, 2002, 'The Discovery of Interesting Nuggets Using Heuristic Techniques', in Data Mining, IGI Global, pp. 48 - 71, http://dx.doi.org/10.4018/978-1-930708-25-9.ch004

Engelbrecht AP; Schoeman L; Rouwhorst S, 2002, 'A Building Block Approach to Genetic Programming for Rule Discovery', in Data Mining, IGI Global, pp. 174 - 190, http://dx.doi.org/10.4018/978-1-930708-25-9.ch009

Bagirov AM; Rubinov AM; Yearwood J, 2002, 'A Heuristic Algorithm for Feature Selection Based on Optimization Techniques', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 13 - 26, http://dx.doi.org/10.4018/978-1-930708-26-6.ch002

Estivill-Castro V; Houle M, 2002, 'Approximating Proximity to Fast and Robust Distance-Based Clustering', in Data Mining, IGI Global, pp. 1 - 21, http://dx.doi.org/10.4018/978-1-930708-25-9.ch002

Sarker R; Coello CA, 2002, 'Assessment Methodologies for Multiobjective Evolutionary Algorithms', in Sarker R; Mohammadian M; Yao X (ed.), Evolutionary Optimization, Kluwer Academic Publishers, Norwell, USA, pp. 177 - 195

Macrossan P; Mengersen K, 2002, 'Bayesian Learning', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 108 - 121, http://dx.doi.org/10.4018/978-1-930708-26-6.ch007

Ting KM, 2002, 'Cost-Sensitive Classification Using Decision Trees, Boosting and MetaCost', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 27 - 53, http://dx.doi.org/10.4018/978-1-930708-26-6.ch003

Howard CM, 2002, 'Designing Component-Based Heuristic Search Engines for Knowledge Discovery', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 68 - 88, http://dx.doi.org/10.4018/978-1-930708-26-6.ch005

Inza I; Larranaga P; Sierra B, 2002, 'Estimation of Distribution Algorithms for Feature Subset Selection in Large Dimensionality Domains', in Data Mining, IGI Global, pp. 97 - 116, http://dx.doi.org/10.4018/978-1-930708-25-9.ch005

Abbass HA, 2002, 'From Evolution to Immune to Swarm to? A simple introduction to heuristics', in Abbass H; Sarker R; Newton C (ed.), Data Mining: A Heuristic Approach, Idea Group Publishing, Hershey USA

George SE, 2002, 'Heuristics in Medical Data Mining', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 226 - 240, http://dx.doi.org/10.4018/978-1-930708-26-6.ch012

Sarker R; Abbass HA; Newton CS, 2002, 'Introducing Data Mining and Knowledge Discovery', in Sarker R; Abbass H; Newton C (ed.), Heuristics and Optimization for Knowledge Discovery, Idea Group Publishing, Hershey, USA, pp. 1 - 11

Cantu-Paz E, 2002, 'On the Use of Evolutionary Algorithms in Data Mining', in Data Mining, IGI Global, pp. 22 - 46, http://dx.doi.org/10.4018/978-1-930708-25-9.ch003

Jones AJ; Evans D; Margetts S; Durrant PJ, 2002, 'The Gamma Test', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 142 - 167, http://dx.doi.org/10.4018/978-1-930708-26-6.ch009

Muruzabal J, 2002, 'Towards the Cross-Fertilization of Multiple Heuristics', in Data Mining, IGI Global, pp. 117 - 142, http://dx.doi.org/10.4018/978-1-930708-25-9.ch006

de Carvalho A; Braga AP; Rezende SO; Martineli E; Ludermir T, 2002, 'Understanding Credit Card User's Behaviour', in Heuristic and Optimization for Knowledge Discovery, IGI Global, pp. 241 - 262, http://dx.doi.org/10.4018/978-1-930708-26-6.ch013

Sarker R; Newton CS, 2000, 'Determination of Optimal Batch Size for a Manufacturing System', in Yang X; Mees AI; Fisher M; Jennings L (ed.), Progress in Oprimization: Contributions from Australasia, Kluwer Academic Publishers, The Netherland, pp. 315 - 327

Sarker R; Rahman SS, 2000, 'Economics of EDI Investments', in Electronic Commerce: Opportunity and Challenges, Idea Group Publishing, USA, pp. 152 - 170

Sarker R; Runarsson T; Newton CS, 2000, 'Evolutionary Computation and Constrained Oprimization', in Mohammadian M (ed.), New Frontiers in Computational Intelligence and its Applications, IOS Press, Amsterdam, pp. 144 - 157

Edited Books

Harrison KR; Elsayed S; Garanovich IL; Weir T; Boswell SG; Sarker RA, (eds.), 2022, Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling, Springer International Publishing, http://dx.doi.org/10.1007/978-3-030-88315-7

Sarker R; Ray T, (ed.), 2010, Agent-Based Evolutionary Search, Springer, Hieidelberg, Germay, http://dx.doi.org/10.1007/978-3-642-13425-8

Gen M; Green D; Katai O; Namatame A; Mckay RI; Sarker R; Zhang B, (eds.), 2009, Intelligent and Evolutionary Systems, Springer, Berlin /Heidelberg

Kamruzzaman J; Begg RK; Sarker RA, 2006, Artificial neural networks in finance and manufacturing, http://dx.doi.org/10.4018/978-1-59140-670-9

Begg R; Kamruzzaman J; Sarker R, 2006, Neural networks in healthcare: Potential and challenges, http://dx.doi.org/10.4018/978-1-59140-848-2

Abbass HA; Sarker RA; Newton CS, 2002, Data Mining: A Heuristic Approach, IGI Global

Abbass HA; Sarker R; Newton CS, (eds.), 2002, Data Mining: A Heuristic Approach, Idea Group Publishing, Hershey USA

Sarker R; Mohammadian M; Yao X, (eds.), 2002, Evolutionary Optimization, Kluwer Academic Publishers, Norwell, USA

Sarker RA; Abbass HA; Newton C, 2002, Heuristics and optimization for knowledge discovery, IGI Global

Mckay RI; Sarker R; Yao X, (eds.), 2000, International Journal of Knowledge - Based Intelligent Engineering Systems, University of South Australia, Adelaide

Journal articles

Ahrari A; Sarker RA; Preuss M, 2026, 'An Evolution Strategy with Adaptive Fitness Sharing for Multimodal Multiobjective Optimization', IEEE Transactions on Evolutionary Computation, 30, pp. 1534 - 1548, http://dx.doi.org/10.1109/TEVC.2025.3609902

Liu J; Elsayed S; Essam D; Harrison K; Sarker R, 2026, 'PPSSolver: An open-source software tool for Project Portfolio Selection and Scheduling Problems', Softwarex, 33, http://dx.doi.org/10.1016/j.softx.2025.102460

Mara STW; Sarker R; Elsayed S; Essam D, 2026, 'A decomposition-based evolutionary algorithm for drone-assisted electric routing problem with drone stations', International Journal of Production Research, 64, pp. 1514 - 1540, http://dx.doi.org/10.1080/00207543.2025.2609948

Zhang D; Turan HH; Sarker R; Essam D, 2026, 'Distributionally robust lot-sizing with inventory-based financing using Wasserstein-profile inference', Computers and Industrial Engineering, 211, http://dx.doi.org/10.1016/j.cie.2025.111617

Zhang D; Hüseyin Turan H; Sarker R; Essam D; Dai S; Zhang L, 2026, 'Two-stage newsvendor network problem: A data-driven distributionally robust optimization approach', Production and Operations Management, http://dx.doi.org/10.1177/10591478261469015

Zhang D; Turan HH; Sarker R; Essam D, 2025, 'Integrating material and cash flows in centralized supply chains: A robust optimization perspective', International Journal of Production Economics, 290, http://dx.doi.org/10.1016/j.ijpe.2025.109779

Hamza N; Elsayed S; Sarker R; Essam D, 2025, 'Constraint Consensus assisted Evolutionary Algorithm for large-scale constrained optimization', Applied Soft Computing, 181, http://dx.doi.org/10.1016/j.asoc.2025.113383

Radwan M; Elsayed S; Sarker R; Essam D; Coello Coello C, 2025, 'Neuro-PSO algorithm for large-scale dynamic optimization', Swarm and Evolutionary Computation, 94, http://dx.doi.org/10.1016/j.swevo.2025.101865

Liu J; Sarker R; Essam D; Elsayed S, 2025, 'A Decomposition-Based Hybrid Algorithm for Large-Scale Project Portfolio Selection and Scheduling With Reaction to Changing Environments', IEEE Transactions on Engineering Management, 72, pp. 2409 - 2423, http://dx.doi.org/10.1109/TEM.2025.3568826

Zhang D; Turan HH; Sarker R; Essam D, 2025, 'Robust optimization approaches in inventory management: Part A—the survey', Iise Transactions, 57, pp. 818 - 844, http://dx.doi.org/10.1080/24725854.2024.2381713

Zhang D; Turan HH; Sarker R; Essam D, 2025, 'Robust optimization approaches in inventory management: Part B—the comparative study', Iise Transactions, 57, pp. 845 - 871, http://dx.doi.org/10.1080/24725854.2024.2381727

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

Siswanto N; Baihaqy AR; Salleh MS; Sarker R, 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

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

Rana MJ; Zaman F; Ray T; Sarker R, 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

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

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