Select Publications by Professor Ruhul Sarker

Books

Sarker R;Newton CS, 2008, Optimization Modelling: A Practical Approach, Original, Taylor and Francis Group/CRC Press, USA, http://www.amazon.com/gp/product/1420043102/sr=1-2/qid=1155535669/ref=sr_1_2/002-2329019-2363244?ie=UTF8&s=books#noop

Sarker R, 2003, Operations Research Applications in a Mining Company, Original, Berlin : Dissertation.de, 2003., Germany, http://www.dissertation.de/englisch/index.php3

Book Chapters

Chakrabortty RK;Sarker ;Essam, 2017, 'Resource Constrained Multi-project Scheduling: A Priority Rule Based Evolutionary Local Search Approach', in Intelligent and Evolutionary Systems, edn. Proceedings in Adaptation, Learning and Optimization, vol 8., Springer, Canberra, Australia, pp. 75 - 86, http://dx.doi.org/10.1007/978-3-319-49049-6_6

Elsayed S;Zaman M;Sarker, 2015, 'Automated Differential Evolution for Solving Dynamic Economic Dispatch Problems', in Intelligent and Evolutionary Systems The 19th Asia Pacific Symposium, IES 2015, Bangkok, Thailand, November 2015, Proceedings, Springer, pp. 357 - 372, http://dx.doi.org/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, http://dx.doi.org/10.1007/978-3-319-13359-1

Ray T;Sarker R, 2012, 'Memetic algorithms in constrained optimization', in Studies in Computational Intelligence, pp. 135 - 151, http://dx.doi.org/10.1007/978-3-642-23247-3_9

Sarker RA;Ray T, 2010, 'Agent Based Evolutionary Approach: An Introduction', in Sarker RA;Ray T (ed.), AGENT-BASED EVOLUTIONARY SEARCH, edn. Adaptation Learning and Optimization, SPRINGER-VERLAG BERLIN, pp. 1 - 11, http://dx.doi.org/10.1007/978-3-642-13425-8_1

Ullah AS S M B;Sarker R;Lokan C, 2010, 'An Agent Based Evolutionary Approach for Nonlinear Optimization with Equality Constraints', in Sarker RA;Ray T (ed.), AGENT-BASED EVOLUTIONARY SEARCH, edn. Adaptation Learning and Optimization, SPRINGER-VERLAG BERLIN, pp. 49 - 76, http://dx.doi.org/10.1007/978-3-642-13425-8_3

Sarker R;Ray T, 2010, 'Agent based Evolutionary Approach: An Introduction', in Sarker R;Ray T (ed.), Agent-Based Evolutionary Search (Book series: Adaption, learning and optimization, vol. 5), edn. 1, Springer-Verlag, Berlin / Heidelberg, pp. 1 - 11, http://dx.doi.org/10.1007/978-3-642-13425-8

Barkat Ullah AS;Sarker R;Lokan CJ, 2010, 'An Agent Based Evolutionary Approach for Nonlinear Optimization with Equality Constraints', in Sarker R;Ray T (ed.), Agent-Based Evolutionary Search (Book series: Adaption, learning and optimization, vol. 5), edn. 1, Springer-Verlag, Berlin / Heidelberg, pp. 49 - 76, http://dx.doi.org/10.1007/978-3-642-13425-8

Sarker RA, 2009, 'Alternative mathematical programming models: A case for a coal blending decision process', in Springer Optimization and Its Applications, pp. 383 - 399, http://dx.doi.org/10.1007/978-0-387-98096-6_21

Hasan SM K;Sarker R;Essam D;Cornforth D, 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, edn. Studies in Computational Intelligence, SPRINGER-VERLAG BERLIN, pp. 55 - 88, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000270732100003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a

Baker S;Bender A;Abbass H;Sarker R, 2007, 'A scenario-based evolutionary scheduling approach for assessing future supply chain fleet capabilities', in Studies in Computational Intelligence, pp. 485 - 511, http://dx.doi.org/10.1007/978-3-540-48584-1_18

Tapabrata R;Sarker R, 2007, 'Optimum oil production planning using an evolutionary approach', in Studies in Computational Intelligence, pp. 273 - 292, http://dx.doi.org/10.1007/978-3-540-48584-1_10

Kamruzzaman J;Sarker RA;Begg R, 2006, 'Artificial neural networks: Applications in finance and manufacturing', in Artificial Neural Networks in Finance and Manufacturing, pp. 1 - 27, http://dx.doi.org/10.4018/978-1-59140-670-9.ch001

Kamruzzaman J;Sarker RA;Begg RK, 2006, 'Modeling and prediction of foreign currency exchange markets', in Artificial Neural Networks in Finance and Manufacturing, pp. 139 - 151, http://dx.doi.org/10.4018/978-1-59140-670-9.ch008

Sarker RA;Abbass HA, 2006, 'Simultaneous evolution of network architectures and connection weights in artificial neural networks', in Artificial Neural Networks in Finance and Manufacturing, pp. 28 - 41, http://dx.doi.org/10.4018/978-1-59140-670-9.ch002

Begg R;Kamruzzaman J;Sarker R, 2006, 'Movement pattern recognition using neural networks', in Neural Networks in Healthcare: Potential and Challenges, pp. 217 - 237, http://dx.doi.org/10.4018/978-1-59140-848-2.ch010

Kamruzzaman J;Begg R;Sarker R, 2006, 'Overview of artificial neural networks and their applications in healthcare', in Neural Networks in Healthcare: Potential and Challenges, pp. 1 - 19, http://dx.doi.org/10.4018/978-1-59140-848-2.ch001

Yang A;Curtis N;Abbass HA;Sarker R;Barlow M, 2006, 'WISDOM-II: A Network Centric Model for Warfare', in Perez P;Batten D (ed.), COMPLEX SCIENCE FOR A COMPLEX WORLD: EXPLORING HUMAN ECOSYSTEMS WITH AGENTS, AUSTRALIAN NATL UNIV, pp. 149 - 173, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000291158700011&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a

Abbass HA;Sarker R;Yang A, 2006, 'Chapter III: How Hard Is It To Red Team?', in Abbass H;Essam D (ed.), Applications of Information Systems to Homeland Security and Defense, edn. Original, Idea Group Publishing, Hershey PA, USA: London, UK, pp. 46 - 78

Yang A;Abbass HA;Sarker R, 2005, 'How hard is it to red team?', in Applications of Information Systems to Homeland Security and Defense, pp. 46 - 78, http://dx.doi.org/10.4018/978-1-59140-640-2.ch003

Yang A;Abbass HA;Barlow MG;Sarker R;Curtis N, 2005, 'Evolving Capability Requirements in WISDOM-II', in Abbass HA;Bossmaier T;Wiles J (ed.), Recent Advances in Artificial Life - Advances in Natural Computation - Vol. 3, edn. Original, World Scientific Publishing, Singapore, pp. 335 - 348, http://dx.doi.org/10.1142/9789812701497_0025

Sarker R;Abbass HA;Newton CS, 2003, 'Solving Two Multi-Objective Optimizatin Problems Using Evolutionary Algorithm', in Mohammadian M (ed.), Computational Intelligence in Control, edn. First, Idea Group Publishing, Hershey USA, pp. 218 - 232

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

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, edn. Original, Idea Group Publishing, Hershey, USA, pp. 1 - 11

Sarker R;Newton C, 2000, 'Determination of optimal batch size for a manufacturing system', in Yang X;Mees AI;Fisher M;Jennings L (ed.), PROGRESS IN OPTIMIZATION: CONTRIBUTIONS FROM AUSTRALASIA, edn. APPLIED OPTIMIZATION, SPRINGER, UNIV AUSTRALIA, PERTH, AUSTRALIA, pp. 315 - 327, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000167757800021&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a

Sarker R;Runarsson TP;Newton C, 2000, 'Evolutionary computation and constrained optimization', in Mohammadian M (ed.), NEW FRONTIERS IN COMPUTATIONAL INTELLIGENCE AND ITS APPLICATIONS, edn. FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS, I O S PRESS, VIENNA, AUSTRIA, pp. 144 - 157, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000086824400016&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a

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

Journal articles

AbdAllah AM F M;Essam DL;Sarker RA, 2017, 'On solving periodic re-optimization dynamic vehicle routing problems', Applied Soft Computing Journal, vol. 55, pp. 1 - 12, http://dx.doi.org/10.1016/j.asoc.2017.01.047

Chakrabortty RK;Sarker RA;Essam DL, 2017, 'Resource constrained project scheduling with uncertain activity durations', Computers and Industrial Engineering, http://dx.doi.org/10.1016/j.cie.2016.12.040

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, http://dx.doi.org/10.1016/j.asoc.2016.11.049

Paul SK;Sarker R;Essam D, 2017, 'A quantitative model for disruption mitigation in a supply chain', European Journal of Operational Research, vol. 257, pp. 881 - 895, http://dx.doi.org/10.1016/j.ejor.2016.08.035

Samavati M;Essam D;Nehring M;Sarker R, 2017, 'A local branching heuristic for the open pit mine production scheduling problem', European Journal of Operational Research, vol. 257, pp. 261 - 271, http://dx.doi.org/10.1016/j.ejor.2016.07.004

Rahman HF;Sarker R;Essam D, 2017, 'A genetic algorithm for permutation flowshop scheduling under practical make-to-order production system', Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM, vol. 31, pp. 87 - 103, http://dx.doi.org/10.1017/S0890060416000196

Elsayed S;Sarker R;Coello Coello CA, 2016, 'Sequence-Based Deterministic Initialization for Evolutionary Algorithms', IEEE Transactions on Cybernetics, http://dx.doi.org/10.1109/TCYB.2016.2630722

Hishamuddin H;Sarker R;Essam D, 2016, 'An inventory recovery model for an economic lot sizing problem with disruption', Jurnal Teknologi, vol. 78, pp. 143 - 148, http://dx.doi.org/10.11113/jt.v78.9162

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, http://dx.doi.org/10.1016/j.energy.2016.06.083

Hamza NM;Essam DL;Sarker RA, 2016, 'Constraint Consensus Mutation-Based Differential Evolution for Constrained Optimization', IEEE Transactions on Evolutionary Computation, vol. 20, pp. 447 - 459, http://dx.doi.org/10.1109/TEVC.2015.2477402

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, http://dx.doi.org/10.1016/j.engappai.2016.04.001

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, http://dx.doi.org/10.1109/TPWRS.2015.2428714

Jha PC;Aggarwal S;Gupta A;Sarker R, 2016, 'Multi-criteria media mix decision model for advertising a single product with segment specific and mass media', Journal of Industrial and Management Optimization, vol. 12, pp. 1367 - 1389, http://dx.doi.org/10.3934/jimo.2016.12.1367

Chakrabortty RK;Sarker RA;Essam DL, 2016, 'Multi-mode resource constrained project scheduling under resource disruptions', Computers and Chemical Engineering, vol. 88, pp. 13 - 29, http://dx.doi.org/10.1016/j.compchemeng.2016.01.004

Paul SK;Sarker R;Essam D, 2016, 'Managing risk and disruption in production-inventory and supply chain systems: A review', Journal of Industrial and Management Optimization, vol. 12, pp. 1009 - 1029, http://dx.doi.org/10.3934/jimo.2016.12.1009

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

Sarker R;Essam D;Hasan SM K;Karim AN M, 2016, 'Managing risk in production scheduling under uncertain disruption', Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM, vol. 30, pp. 289 - 299, http://dx.doi.org/10.1017/S0890060415000323

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

Shafi K;Elsayed S;Sarker R;Ryan M, 2015, 'Scenario-based multi-period program optimization for capability-based planning using evolutionary algorithms', Applied Soft Computing Journal, http://dx.doi.org/10.1016/j.asoc.2016.07.009

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, http://dx.doi.org/10.1142/S146902681550025X

Hishamuddin H;Sarker R;Essam D, 2015, 'A recovery model for a supply chain system with multiple suppliers subject to supply disruption', Journal of Engineering Science and Technology, vol. 10, pp. 89 - 101


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