By Professor Tapabrata Ray

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

Kenny A; Ray T; Singh HK, 2025, 'An Extension of the Welded Beam Problem that Includes Multiple Interacting Design Concepts', in , pp. 211 - 225, http://dx.doi.org/10.1007/978-981-96-3506-1_15

Wang B; Singh HK; Ray T, 2025, 'Selective Evaluations for Expediting Multi-objective Bilevel Optimization', in , pp. 31 - 45, http://dx.doi.org/10.1007/978-981-96-3506-1_3

Kenny A; Ray T; Limmer S; Singh HK; Rodemann T; Olhofer M, 2024, 'A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour', in , pp. 115 - 129, http://dx.doi.org/10.1007/978-3-031-56855-8_7

Kenny A; Ray T; Singh HK; Li X, 2023, 'A Test Suite for Multi-objective Multi-fidelity Optimization', in , pp. 361 - 373, http://dx.doi.org/10.1007/978-3-031-27250-9_26

Chen Y; Singh HK; Zhou A; Ray T, 2021, 'A Fast Converging Evolutionary Algorithm for Constrained Multiobjective Portfolio Optimization', in Evolutionary Multi-Criterion Optimization, pp. 283 - 295, http://dx.doi.org/10.1007/978-3-030-72062-9_23

Wang B; Singh HK; Ray T, 2021, 'Investigating Normalization Bounds for Hypervolume-Based Infill Criterion for Expensive Multiobjective Optimization', in Evolutionary Multi-Criterion Optimization, Springer Nature, pp. 519 - 530, http://dx.doi.org/10.1007/978-3-030-72062-9_41

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, 2017, 'Multi-Objective Optimization Using an Evolutionary Algorithm Embedded with Multiple Spatially Distributed Surrogates', in Advances in Process Systems Engineering, World Scientific, pp. 135 - 155, http://dx.doi.org/10.1142/9789813148239_0005

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; 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

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

Ali IM; Elsayed SM; Ray T; Sarker RA, 2016, 'A differential evolution algorithm for solving resource constrained project scheduling problems', in , pp. 209 - 220, http://dx.doi.org/10.1007/978-3-319-28270-1_18

Zaman MF; Elsayed SM; Ray T; Sarker RA, 2016, 'A double action genetic algorithm for scheduling the wind-thermal generators', in , pp. 258 - 269, http://dx.doi.org/10.1007/978-3-319-28270-1_22

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

Tajbakhsh SE; Ray T; Reed MC, 2015, 'An Evolutionary Approach to Resource Allocation in Wireless Small Cell Networks', in Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 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

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, SPRINGER-VERLAG BERLIN, pp. 1 - 11, http://dx.doi.org/10.1007/978-3-642-13425-8_1

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), Springer-Verlag, Berlin / Heidelberg, pp. 1 - 11, http://dx.doi.org/10.1007/978-3-642-13425-8

Singh HK; Ray T, 2010, 'Divide and Conquer in Coevolution: A Difficult Balancing Act', in Sarker R; Ray T (ed.), Agent-Based Evolutionary Search (Book series: Adaption, learning and optimization, vol. 5), Springer-Verlag, Berlin / Heidelberg, pp. 121 - 142, http://www.springer.com/engineering/book/978-3-642-13424-1

Singh HK; Ray T, 2010, 'Divide and Conquer in Coevolution: A Difficult Balancing Act', in Agent-Based Evolutionary Search, Springer Nature, pp. 117 - 138, http://dx.doi.org/10.1007/978-3-642-13425-8_6

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, 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

Isaacs A; Ray T; Smith W, 2007, 'An Evolutionary Algorithm with Spatially Distributed Surrogates for Multiobjective Optimization', in Lecture Notes in Computer Science, Springer Berlin Heidelberg, pp. 257 - 268, http://dx.doi.org/10.1007/978-3-540-76931-6_23

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

Ray T; Venkata N, 2005, 'Application of Multiobjective optimization in Electromagnetic Design', in Nedjah N; Mourelle LDM (ed.), Application of Multiobjective optimization in Electromagnetic Design, 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&ei=Hv9sS4PrEoGOkQWalrnUBw&sa=X&oi=book_result&ct=result&resnum=4&ved=0CCMQ6AEwAw#v=onepage&q=Application%20of%20Multiobjective%20optimization%20in%20Electromagnetic%20Design&f=false

Ray T, 2004, 'APPLICATIONS OF MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS IN ENGINEERING DESIGN', in Advances in Natural Computation, WORLD SCIENTIFIC, pp. 29 - 52, http://dx.doi.org/10.1142/9789812567796_0002

Journal articles

Kapoor A; Ray T; Jepson N; Beier S, 2025, 'Comprehensive Geometric Parameterization and Computationally Efficient 3D Shape Matching Optimization of Realistic Stents', Journal of Mechanical Design, 147, http://dx.doi.org/10.1115/1.4066961

Colombo A; Chiastra C; Gallo D; Loh PH; Dokos S; Zhang M; Keramati H; Carbonaro D; Migliavacca F; Ray T; Jepson N; Beier S, 2025, 'Advancements in Coronary Bifurcation Stenting Techniques: Insights From Computational and Bench Testing Studies', International Journal for Numerical Methods in Biomedical Engineering, 41, pp. e70000, http://dx.doi.org/10.1002/cnm.70000

Singh H; Ray T; Knowles J; Li X; Branke J; Wang B; Oyama A, 2025, 'Preface', Lecture Notes in Computer Science, 15513 LNCS, pp. v - vi

Singh H; Ray T; Knowles J; Li X; Wang B; Branke J; Oyama A, 2025, 'Preface', Lecture Notes in Computer Science, 15512 LNCS, pp. v

Kenny A; Ray T; Singh H, 2024, 'A framework for design optimization across multiple concepts', Scientific Reports, 14, http://dx.doi.org/10.1038/s41598-024-57468-2

Mortazavi A; Ghasri M; Ray T, 2024, 'Corrigendum to “Integrated demand responsive transport in low-demand areas: A case study of Canberra, Australia” [Transp. Res. Part D: Transport Environ. 127 (2024) 104036]', Transportation Research Part D: Transport and Environment, 130, http://dx.doi.org/10.1016/j.trd.2024.104201

Niloy RS; Singh HK; Ray T, 2024, 'A benchmark test suite for evolutionary multi-objective multi-concept optimization', Swarm and Evolutionary Computation, 84, pp. 101429, http://dx.doi.org/10.1016/j.swevo.2023.101429

Mortazavi A; Ghasri M; Ray T, 2024, 'A linearly decreasing deterministic annealing algorithm for the multi-vehicle dial-a-ride problem', PLoS ONE, 19, http://dx.doi.org/10.1371/journal.pone.0292683

Mortazavi A; Ghasri M; Ray T, 2024, 'Integrated Demand Responsive transport in Low-Demand Areas: A case study of Canberra, Australia', Transportation Research Part D: Transport and Environment, 127, http://dx.doi.org/10.1016/j.trd.2023.104036

Kapoor A; Jepson N; Bressloff NW; Loh PH; Ray T; Beier S, 2024, 'The road to the ideal stent: A review of stent design optimisation methods, findings, and opportunities', Materials and Design, 237, pp. 112556, http://dx.doi.org/10.1016/j.matdes.2023.112556

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

Rahi KH; Singh HK; Ray T, 2023, 'A Steady-State Algorithm for Solving Expensive Multiobjective Optimization Problems with Nonparallelizable Evaluations', IEEE Transactions on Evolutionary Computation, 27, pp. 1544 - 1558, http://dx.doi.org/10.1109/TEVC.2022.3219062

Kenny A; Ray T; Singh HK, 2023, 'An Iterative Two-Stage Multifidelity Optimization Algorithm for Computationally Expensive Problems', IEEE Transactions on Evolutionary Computation, 27, pp. 520 - 534, http://dx.doi.org/10.1109/TEVC.2022.3170970

Wang B; Singh HK; Ray T, 2023, 'Adjusting normalization bounds to improve hypervolume based search for expensive multi-objective optimization', Complex and Intelligent Systems, 9, pp. 1193 - 1209, http://dx.doi.org/10.1007/s40747-021-00590-9

Mamun MM; Singh HK; Ray T, 2022, 'An approach for computationally expensive multi-objective optimization problems with independently evaluable objectives', Swarm and Evolutionary Computation, 75, pp. 101146, http://dx.doi.org/10.1016/j.swevo.2022.101146

Tarek M; Ray T, 2022, 'Approximation schemes for stochastic compliance-based topology optimization with many loading scenarios', Structural and Multidisciplinary Optimization, 65, http://dx.doi.org/10.1007/s00158-022-03221-0

Mamun MM; Singh HK; Ray T, 2022, 'A Multifidelity Approach for Bilevel Optimization with Limited Computing Budget', IEEE Transactions on Evolutionary Computation, 26, pp. 392 - 399, http://dx.doi.org/10.1109/TEVC.2021.3120111

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