Books

Prusty BG; Sul J; Ray T, 2011, Fatigue behaviour of short fibre composites, Nova Science Publishers Inc, NY, USA, https://www.novapublishers.com/catalog/product_info.php?products_id=18040

Book Chapters

Bhattacharjee KS; Singh HK; Ray T, 2020, 'Many-objective optimization with limited computing budget', in Studies in Computational Intelligence, pp. 17 - 46, http://dx.doi.org/10.1007/978-3-030-18764-4_2

Hassanein O; Anavatti S; Ray T, 2018, 'Autonomous Underwater Vehicles', in Meng Joo E (ed.), Intelligent Marine and Aerial Vehicles: Theory and Applications, Nova Publishers, https://novapublishers.com/shop/intelligent-marine-and-aerial-vehicles-theory-and-applications/

Bhattacharjee KS; Isaacs A; Ray T, 2016, 'Multi-objective optimization using an evolutionary algorithm embedded with multiple spatially distributed surrogates', in Multi-Objective Optimization: Techniques and Applications in Chemical Engineering (Second Edition), pp. 135 - 156, http://dx.doi.org/10.1142/9789812836526_0005

Anavatti SG; ray T, 2016, 'A Game-Theoretic Approach to the Analysis of Traffic Assignment', in singh H (ed.), Intelligent and Evolutionary Systems The 20th Asia Pacific Symposium, IES 2016, Canberra, Australia, November 2016, Proceedings, Springer, pp. 17 - 30, http://dx.doi.org/10.1007/978-3-319-49049-6_2

Anavatti SG; li C; ray T, 2016, 'A game-theoretic approach to the analysis of Traffic Assignment', in Intelligent and Evolutionary Systems The 20th Asia Pacific Symposium, IES 2016, Canberra, Australia, November 2016, Proceedings, Springer, pp. 17 - 30, http://dx.doi.org/10.1007/978-3-319-49049-6_2

Tajbakhsh SE; Ray T; Reed MC, 2015, 'An Evolutionary Approach to Resource Allocation in Wireless Small Cell Networks', in , Springer International Publishing, pp. 718 - 724, http://dx.doi.org/10.1007/978-3-319-24540-9_59

Bhattacharjee KS; Ray T, 2015, 'Cost to Evaluate Versus Cost to Learn? Performance of Selective Evaluation Strategies in Multiobjective Optimization', in AI 2015: Advances in Artificial Intelligence, Springer, pp. 63 - 75, http://dx.doi.org/10.1007/978-3-319-26350-2_6

Bhattacharjee KS; Ray T, 2015, 'An Evolutionary Algorithm with Classifier Guided Constraint Evaluation Strategy for Computationally Expensive Optimization Problems', in AI 2015: Advances in Artificial Intelligence, Springer, pp. 49 - 62, http://dx.doi.org/10.1007/978-3-319-26350-2_5

Hassanein O; Anavatti SG; Ray T, 2013, 'On-line adaptive fuzzy modeling and control for autonomous underwater vehicle', in Recent Advances in Robotics and Automation, Springer, Heidelberg, pp. 57 - 70, http://dx.doi.org/10.1007/978-3-642-37387-9_4

Ray T; Sarker R, 2012, 'Memetic algorithms in constrained optimization', in Neri F; Cotta C; Moscato P (ed.), Handbook of Memetic Algorithms, Springer, Germany, 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

Singh HK; Ray T, 2010, 'Divide and Conquer in Coevolution: A Difficult Balancing Act', in Sarker RA; Ray T (ed.), AGENT-BASED EVOLUTIONARY SEARCH, edn. Adaptation Learning and Optimization, Springer-Verlag, Berlin / Heidelberg, pp. 121 - 142, http://dx.doi.org/10.1007/978-3-642-13425-8_6

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

Ray T; Isaacs A; Smith WF, 2009, 'A Memetic Algorithm for Dynamic Multiobjective Optimization', in Goh CK; Ong YS; Tan KC (ed.), Studies in computational intelligence / Multi-Objective Memetic Algorithms, Springer, Berlin / Heidelberg, pp. 353 - 367, http://dx.doi.org/10.1007/978-3-540-88051-6_16

Ray T; Singh HK; Isaacs A; Smith WF, 2009, 'Infeasibility Driven Evolutionary Algorithm for Constrained Optimization', in Montes EEM (ed.), Constraint-Handling in Evolutionary Optimization, Springer Publishing Company, Berlin, Germany, pp. 145 - 165, http://dx.doi.org/10.1007/978-3-642-00619-7_7

Ray T; Isaacs A; Smith WF, 2009, 'Surrogate Assisted Evolutionary Algorithm for Multi-objective Optimization', in Rangaih GP (ed.), Multi-objective Optimization: Techniques and Applications in Chemical Engineering, edn. Har/Cdr edition (December 22, 2008), World Scientific Publishing, Singapore, pp. 131 - 151, http://www.worldscibooks.com/etextbook/7088/7088_toc.pdf

Isaacs A; Ray T; Smith WF, 2008, 'Set Representation and Multi-parent Learning within an Evolutionary Algorithm for Optimal Design of Trusses', in Chen YP; Lim LH (ed.), Linkage In Evolutionary Computation, Springer Publishing Company, pp. 419 - 439, http://dx.doi.org/10.1007/978-3-540-85068-7_17

Ray T; Sarker R, 2007, 'Optimum oil production planning using an evolutionary approach', in Studies in Computational Intelligence - Evolutionary Scheduling, Springer Verlag, pp. 273 - 292, http://dx.doi.org/10.1007/978-3-540-48584-1_10

Ray T, 2006, 'A Neural-Network-Assisted Optimization Framework and Its Use for Optimum-Parameter Identification', in Kamruzzaman J; Begg R; Sarker R (ed.), Artificial Neural Networks in Finance and Manufacturing, Idea Group Publishing, England, pp. 221 - 235, http://dx.doi.org/10.4018/978-1-59140-670-9.ch013

Ray T; Venkata N, 2005, 'Application of Multiobjective optimization in Electromagnetic Design', in Nedjah N; Mourelle LD M (ed.), Application of Multiobjective optimization in Electromagnetic Design, edn. first, Nova Science Publications, New York, USA, pp. 77 - 100, http://books.google.com.au/books?id=UeoV9NNJ_8oC&pg=PA77&lpg=PA77&dq=Application+of+Multiobjective+optimization+in+Electromagnetic+Design&source=bl&ots=3QRvNgt6u4&sig=DAY9jeGp9rk5iAZT0Xp9yhO4lXs&hl=en

Journal articles

Tarek M; Ray T, 2020, 'Adaptive continuation solid isotropic material with penalization for volume constrained compliance minimization', Computer Methods in Applied Mechanics and Engineering, vol. 363, http://dx.doi.org/10.1016/j.cma.2020.112880

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

Habib A; Singh HK; Chugh T; Ray T; Miettinen K, 2019, 'A multiple surrogate assisted decomposition-based evolutionary algorithm for expensive multi/many-objective optimization', IEEE Transactions on Evolutionary Computation, vol. 23, pp. 1000 - 1014, http://dx.doi.org/10.1109/TEVC.2019.2899030

Chand S; Singh H; Ray T, 2019, 'Evolving rollout-justification based heuristics for resource constrained project scheduling problems', Swarm and Evolutionary Computation, vol. 50, http://dx.doi.org/10.1016/j.swevo.2019.07.002

Habib A; K. Singh H; Ray T, 2019, 'A multiple surrogate assisted multi/many-objective multi-fidelity evolutionary algorithm', Information Sciences, vol. 502, pp. 537 - 557, http://dx.doi.org/10.1016/j.ins.2019.06.016

Singh HK; Islam MM; Ray T; Ryan M, 2019, 'Nested evolutionary algorithms for computationally expensive bilevel optimization problems: Variants and their systematic analysis', Swarm and Evolutionary Computation, vol. 48, pp. 329 - 344, http://dx.doi.org/10.1016/j.swevo.2019.05.002

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, vol. 23, pp. 247 - 257, http://dx.doi.org/10.1109/TEVC.2018.2848254

Liu Z; Bhattacharjee KS; Tian FB; Young J; Ray T; Lai JCS, 2019, 'Kinematic optimization of a flapping foil power generator using a multi-fidelity evolutionary algorithm', Renewable Energy, vol. 132, pp. 543 - 557, http://dx.doi.org/10.1016/j.renene.2018.08.015

Chand S; Singh H; Ray T, 2019, 'Evolving heuristics for the resource constrained project scheduling problem with dynamic resource disruptions', Swarm and Evolutionary Computation, vol. 44, pp. 897 - 912, http://dx.doi.org/10.1016/j.swevo.2018.09.007

Singh HK; Ray T; Bhattacharjee KS, 2018, 'Distance based subset selection for benchmarking in evolutionary multi/many-objective optimization', IEEE Transactions on Evolutionary Computation, pp. 1 - 10, http://dx.doi.org/10.1109/TEVC.2018.2883094

Huynh QN; Chand S; Singh HK; Ray T, 2018, 'Genetic Programming With Mixed-Integer Linear Programming-Based Library Search', IEEE Transactions on Evolutionary Computation, vol. 22, pp. 733 - 747, http://dx.doi.org/10.1109/TEVC.2018.2840056

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

Habib A; Singh HK; Ray T, 2018, 'A multiple surrogate assisted evolutionary algorithm for optimization involving iterative solvers', Engineering Optimization, vol. 50, pp. 1625 - 1644, http://dx.doi.org/10.1080/0305215X.2017.1401068

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

Bhattacharjee KS; Singh HK; Ray T, 2018, 'Multiple surrogate-Assisted many-objective optimization for computationally expensive engineering design', Journal of Mechanical Design, Transactions of the ASME, vol. 140, http://dx.doi.org/10.1115/1.4039450

Chand S; Huynh Q; Singh H; Ray T; Wagner M, 2018, 'On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems', Information Sciences, vol. 432, pp. 146 - 163, http://dx.doi.org/10.1016/j.ins.2017.12.013

Islam MM; Singh HK; Ray T; Sinha A, 2017, 'An enhanced memetic algorithm for Single-Objective bilevel optimization problems', Evolutionary Computation, vol. 25, pp. 607 - 642, http://dx.doi.org/10.1162/EVCO_a_00198

Elsayed S; Sarker R; Ray T; Coello CC, 2017, 'Consolidated optimization algorithm for resource-constrained project scheduling problems', Information Sciences, vol. 418-419, pp. 346 - 362, http://dx.doi.org/10.1016/j.ins.2017.08.023

Alam K; Ray T; Anavatti SG, 2017, 'Design Optimization of an Unmanned Underwater Vehicle Using Low- A nd High-Fidelity Models', IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, pp. 2794 - 2808, http://dx.doi.org/10.1109/TSMC.2015.2390592

Islam MM; Singh HK; Ray T, 2017, 'A surrogate assisted approach for single-objective bilevel optimization', IEEE Transactions on Evolutionary Computation, vol. 21, pp. 681 - 696, http://dx.doi.org/10.1109/TEVC.2017.2670659

Bhattacharjee KS; Singh HK; Ryan M; Ray T, 2017, 'Bridging the gap: Many-objective optimization and informed decision-making', IEEE Transactions on Evolutionary Computation, vol. 21, pp. 813 - 820, http://dx.doi.org/10.1109/TEVC.2017.2687320

Zhang Z; Zhan C; Shankar K; Morozov EV; Singh HK; Ray T, 2017, 'Sensitivity analysis of inverse algorithms for damage detection in composites', Composite Structures, vol. 176, pp. 844 - 859, http://dx.doi.org/10.1016/j.compstruct.2017.06.019

Li C; Anavatti SG; Ray T, 2017, 'A Path-Based Solution Algorithm for Dynamic Traffic Assignment', Networks and Spatial Economics, vol. 17, pp. 841 - 860, http://dx.doi.org/10.1007/s11067-017-9346-1

Asafuddoula M; Singh HK; Ray T, 2017, 'An Enhanced Decomposition-Based Evolutionary Algorithm With Adaptive Reference Vectors', IEEE Transactions on Cybernetics, vol. 48, pp. 2321 - 2334, http://dx.doi.org/10.1109/TCYB.2017.2737519

Bhattacharjee KS; Singh HK; Ray T, 2017, 'A novel decomposition-based evolutionary algorithm for engineering design optimization', Journal of Mechanical Design, Transactions of the ASME, vol. 139, http://dx.doi.org/10.1115/1.4035862

Branke J; Asafuddoula M; Bhattacharjee KS; Ray T, 2017, 'Efficient Use of Partially Converged Simulations in Evolutionary Optimization', IEEE Transactions on Evolutionary Computation, vol. 21, pp. 52 - 64, http://dx.doi.org/10.1109/TEVC.2016.2569018

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

Bhattacharjee KS; Singh HK; Ray T, 2017, 'An approach to generate comprehensive piecewise linear interpolation of pareto outcomes to aid decision making', Journal of Global Optimization, vol. 68, pp. 71 - 93, http://dx.doi.org/10.1007/s10898-016-0454-0

Hassanein O; Anavatti SG; Shim H; Ray T, 2016, 'Model-based adaptive control system for autonomous underwater vehicles', Ocean Engineering, vol. 127, pp. 58 - 69, http://dx.doi.org/10.1016/j.oceaneng.2016.09.034

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