By Professor Tapabrata Ray

Journal articles

Liew KM; Ray T; Tan H; Tan MJ, 2004, 'Optimal Process Design of Sheet Metal Forming for Minimum Spring-back via an Integrated Neural Network Evolutionary Algorithm', Structural and Multidisciplinary Optimization, 26, pp. 284 - 294, http://dx.doi.org/10.1007/s00158-003-0347-y

Venkatarajalu NV; Ray T, 2004, 'Optimum Design of Yagi-Uda Antennas Using Computational Intelligence', IEEE Transactions on Antennas and Propagation, 52, pp. 1811 - 1818, http://dx.doi.org/10.1109/TAP.2004.831338

Ray T; Tsai HM, 2004, 'Swarm Algorithm for Single and Multi-objective Airfoil Design Optimization', AIAA American Institute of Aeronautics and Astronautics Journal, 42, pp. 366 - 373, http://www.aiaa.org/content.cfm?pageid=318

Ray T, 2003, 'Golinski’s Speed Reducer Problem Revisited', AIAA American Institute of Aeronautics and Astronautics Journal, 41, pp. 556 - 558, http://dx.doi.org/10.2514/2.1984

Ray T; Liew KM, 2003, 'Society and Civilization: An Optimization Algorithm Based on the Simulation of Social Behaviour', IEEE Transactions on Evolutionary Computation, 7, pp. 386 - 396, http://dx.doi.org/10.1109/TEVC.2003.814902

Ray T; Liew KM, 2002, 'A swarm metaphor for multiobjective design optimization', ENGINEERING OPTIMIZATION, 34, pp. 141 - 153, http://dx.doi.org/10.1080/03052150210915

Akhtar S; Tai K; Ray T, 2002, 'A socio-behavioural simulation model for engineering design optimization', ENGINEERING OPTIMIZATION, 34, pp. 341 - 354, http://dx.doi.org/10.1080/03052150212723

Ray T; Tsai HM; Tan CM, 2002, 'Effects of solver fidelity on a parallel search algorithm's performance for airfoil shape optimization problems', 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization

Akhtar S; Tai K; Ray T, 2002, 'A Socio-Behavioural Simulation Model for Engineering Design Optimization', Engineering Optimization, 34, pp. 341 - 354, http://dx.doi.org/10.1080/03052150212723

Ray T; Liew KM, 2002, 'A Swarm Metaphor for Multi-objective Design Optimization', Engineering Optimization, 34, pp. 141 - 153, http://dx.doi.org/10.1080/03052150210915

Ray T; Liew KM; Saini P, 2002, 'An Intelligent Information Sharing Strategy within a Swarm for Unconstrained and Constrained Optimization Problems', Soft Computing, 6, pp. 38 - 44, http://dx.doi.org/10.1007/s005000100130

Tai K; Guang YC; Ray T, 2002, 'Design Synthesis of Path Generating Compliant Mechanisms by Evolutionary Optimization of Topology and Shape', Journal of Mechanical Design, 124, pp. 492 - 500, http://dx.doi.org/10.1115/1.1480818

Ray T; Saini P, 2002, 'Engineering Design Optimization using a Swarm with an Intelligent Information Sharing among Individuals', Engineering Optimization, 33, pp. 735 - 748, http://dx.doi.org/10.1080/03052150108940941

Liew KM; Ray T; Tan H; Tan MJ, 2002, 'Evolutionary Optimization and use of Neural Network for Optimum Stamping Process Design for Minimum Spring-back', Journal of computing and information science in engineering, 2, pp. 38 - 44, http://dx.doi.org/10.1115/1.1482399

Ray T; Tai K, 2001, 'An Evolutionary Algorithm with a Multilevel Pairing Strategy for Single and Multi-objective Optimization', Foundations of Computing and Decision Sciences, 26, pp. 75 - 98

Ray T; Tai K; Seow KC, 2001, 'Multi-objective Design Optimization by an Evolutionary Algorithm', Engineering Optimization, 33, pp. 399 - 424, http://dx.doi.org/10.1080/03052150108940926

Ray T, 1998, 'Intelligent Concept Exploration using Artificial Neural Network Model', Transactions of Society of Naval Architects and Marine Engineers

Ray T; Gokarn RP; Sha OP, 1996, 'Neural Network Applications in Naval Architecture and Marine Engineering', Artificial Intelligence in Engineering, 1, pp. 213 - 226, http://dx.doi.org/10.1016/0954-1810(95)00030-5

Ray T; Gokarn RP; Sha OP, 1995, 'A Global Optimization Model for Ship Design', Computers in Industry, 26, pp. 175 - 192, http://dx.doi.org/10.1016/0166-3615(95)00003-M

Ray T; Sha OP, 1994, 'Multicriteria Optimization Model for a Containership Design', Marine Technology and SNAME News, 31, pp. 258 - 268, http://dx.doi.org/10.5957/mt1.1994.31.4.258

Ray T; Gokarn RP; Sha OP, 1994, 'A Partial Discrete Optimization Model for Preliminary Ship Design', Journal of Institution of Naval Architects

Ray T; Sha OP, 1994, 'Multicriteria Optimization Model for a Containership Design', Marine Technology Society Journal, 31, pp. 258 - 268

Conference Papers

Rahi K; Singh H; Ray T, 2024, 'Towards solving expensive optimization problems with heterogeneous constraint costs', in GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pp. 2032 - 2040, http://dx.doi.org/10.1145/3638530.3664105

Kenny A; Ray T; Limmer S; Singh HK; Rodemann T; Olhofer M, 2024, 'Using Bayesian Optimization to Improve Hyperparameter Search in TPOT', in GECCO 2024 - Proceedings of the 2024 Genetic and Evolutionary Computation Conference, pp. 340 - 348, http://dx.doi.org/10.1145/3638529.3654061

Wang B; Singh HK; Ray T, 2024, 'Improving the Performance of Bilevel Evolutionary Algorithms using Variable Associations', in 2024 IEEE Congress on Evolutionary Computation, CEC 2024 - Proceedings, http://dx.doi.org/10.1109/CEC60901.2024.10611784

Niloy RS; Singh HK; Ray T, 2023, 'A Brief Review of Multi-Concept Multi-Objective Optimization Problems', in 2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023, Institute of Electrical and Electronics Engineers (IEEE), pp. 1511 - 1517, presented at 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 05 December 2023 - 08 December 2023, http://dx.doi.org/10.1109/SSCI52147.2023.10371911

Lette M; Rahi KH; Singh HK; Ray T, 2023, 'Vertical-Axis Wind Turbine Design Using Surrogate-Assisted Optimization with Physical Experiments In-loop', in GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference, Association for Computing Machinery, Lisbon (hybrid), pp. 1391 - 1399, presented at GECCO '23: Genetic and Evolutionary Computation Conference, Lisbon (hybrid), 15 July 2023, https://dl.acm.org/doi/abs/10.1145/3583131.3590462

Kenny A; Ray T; Limmer S; Singh HK; Rodemann T; Olhofer M, 2023, 'Hybridizing TPOT with Bayesian Optimization', in GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pp. 502 - 510, http://dx.doi.org/10.1145/3583131.3590364

Rahi KH; Singh HK; Ray T, 2023, 'A Generalized Surrogate-Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization', in 2023 IEEE Congress on Evolutionary Computation, CEC 2023, Institute of Electrical and Electronics Engineers (IEEE), pp. 1 - 8, presented at 2023 IEEE Congress on Evolutionary Computation (CEC), 01 July 2023 - 05 July 2023, http://dx.doi.org/10.1109/CEC53210.2023.10254148

Wang B; Singh HK; Ray T, 2023, 'An Evaluation of Simple Solution Transfer Strategies for Bilevel Multiobjective Optimization', in 2023 IEEE Congress on Evolutionary Computation, CEC 2023, Institute of Electrical and Electronics Engineers (IEEE), pp. 1 - 8, presented at 2023 IEEE Congress on Evolutionary Computation (CEC), 01 July 2023 - 05 July 2023, http://dx.doi.org/10.1109/CEC53210.2023.10254108

Wang B; Singh HK; Ray T, 2022, 'Investigating Neighborhood Solution Transfer Schemes for Bilevel Optimization', in 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings, Institute of Electrical and Electronics Engineers (IEEE), ITALY, Padua, pp. 1 - 8, presented at 2022 IEEE Congress on Evolutionary Computation (CEC), ITALY, Padua, 18 July 2022 - 23 July 2022, http://dx.doi.org/10.1109/CEC55065.2022.9870350

Huynh QN; Singh HK; Ray T, 2022, 'Discovery of implicit relationships from data using linear programming and mixed integer linear programming', in GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pp. 558 - 561, http://dx.doi.org/10.1145/3520304.3528953

Ray T; Mamun MM; Singh HK, 2022, 'A Simple Evolutionary Algorithm for Multi-modal Multi-objective Optimization', in 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings, http://dx.doi.org/10.1109/CEC55065.2022.9870274

Huynh Q; Singh H; Ray T; Oyama A, 2022, 'Improved Genetic Programming for Symbolic Regression: Case Studies on Practical Applications', in Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022, pp. 1135 - 1142, http://dx.doi.org/10.1109/SSCI51031.2022.10022279

Parker B; Singh HK; Ray T, 2021, 'Multi-objective optimization across multiple concepts: A case study on lattice structure design', in GECCO 2021 - Proceedings of the 2021 Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), ELECTR NETWORK, pp. 1035 - 1042, presented at Proceedings of the Genetic and Evolutionary Computation Conference, ELECTR NETWORK, 10 July 2021 - 14 July 2021, http://dx.doi.org/10.1145/3449639.3459267

Wang B; Singh HK; Ray T, 2021, 'Bridging kriging believer and expected improvement using bump hunting for expensive black-box optimization', in GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM), pp. 211 - 212, presented at Proceedings of the Genetic and Evolutionary Computation Conference Companion, http://dx.doi.org/10.1145/3449726.3459466

Wang B; Singh HK; Ray T, 2021, 'Comparing Expected Improvement and Kriging Believer for Expensive Bilevel Optimization', in 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), ELECTR NETWORK, pp. 1635 - 1642, presented at 2021 IEEE Congress on Evolutionary Computation (CEC), ELECTR NETWORK, 28 June 2021 - 01 July 2021, http://dx.doi.org/10.1109/CEC45853.2021.9504815

Rana MJ; Zaman F; Ray T; Sarker R, 2020, 'Economic-Environmental Scheduling of Community Microgrid using Evolutionary Algorithm', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 2770 - 2777, http://dx.doi.org/10.1109/SSCI47803.2020.9308215

Rahi KH; Habib A; Singh HK; Ray T, 2020, 'Expediting the convergence of evolutionary algorithms by identifying promising regions of the search space', in GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pp. 201 - 202, http://dx.doi.org/10.1145/3377929.3389898

Habib A; Rahi KH; Singh HK; Ray T, 2020, 'Wind-turbine design optimization using a many-objective evolutionary algorithm', in GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pp. 267 - 268, http://dx.doi.org/10.1145/3377929.3389899

Ray T; Singh HK; Habib A; Rodemann T; Olhofer M, 2020, 'Online intensification of search around solutions of interest for multi/many-objective optimization', in 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings, http://dx.doi.org/10.1109/CEC48606.2020.9185812

Gharleghi R; Wright H; Khullar S; Liu J; Ray T; Beier S, 2019, 'Advanced Multi-objective Design Analysis to Identify Ideal Stent Design', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Shenzhen, China, pp. 193 - 200, presented at MLMECH, Shenzhen, China, 13 October 2019, http://dx.doi.org/10.1007/978-3-030-33327-0_23

Habib A; Singh HK; Ray T, 2019, 'A Component-wise Study of K-RVEA: Observations and potential future developments', in GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion, pp. 201 - 202, http://dx.doi.org/10.1145/3319619.3321932

Singh HK; Rodemann T; Ray T; Olhofer M, 2019, 'Identifying solutions of interest for practical many-objective problems using recursive expected marginal utility', in GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion, pp. 1734 - 1741, http://dx.doi.org/10.1145/3319619.3326804

Huynh QN; Singh HK; Ray T, 2019, 'Investigating the use of linear programming to solve implicit symbolic regression problems', in GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion, pp. 344 - 345, http://dx.doi.org/10.1145/3319619.3321889

Rahi KH; Singh HK; Ray T, 2019, 'Investigating the use of sequencing and infeasibility driven strategies for constrained optimization', in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), NEW ZEALAND, Wellington, pp. 1642 - 1649, presented at 2019 IEEE Congress on Evolutionary Computation (CEC), NEW ZEALAND, Wellington, 10 June 2019 - 13 June 2019, http://dx.doi.org/10.1109/CEC.2019.8790239

Chand S; Singh HK; Ray T; Ryan M, 2019, 'Rollout based Heuristics for the Quantum Circuit Compilation Problem', in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, pp. 974 - 981, http://dx.doi.org/10.1109/CEC.2019.8790000

Bhattacharjee KS; Singh HK; Ray T, 2019, 'Optimum wind farm layouts: a many-objective perspective and case study', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), East Lansing, MI, USA, pp. 707 - 718, presented at 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, East Lansing, MI, USA, 10 March 2019 - 13 March 2019, http://dx.doi.org/10.1007/978-3-030-12598-1_56

Singh HK; Bhattacharjee KS; Ray T; Mostaghim S, 2018, 'Investigation of a simple distance based ranking metric for decomposition-based multi/many-objective evolutionary algorithms', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, Cham, Wellington, New Zealand, pp. 384 - 396, presented at AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint Conference, Wellington, New Zealand, 11 December 2018 - 14 December 2018, http://dx.doi.org/10.1007/978-3-030-03991-2_36

Ray T; Habib A; Singh HK; Ryan M, 2018, 'Uncovering performance envelopes through optimum design of tests', in Mitrovic T; Xue B; Li X (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, Cham, Wellington, New Zealand, pp. 445 - 457, presented at Australasian Joint Conference on Artificial Intelligence : AI 2018, Wellington, New Zealand, 11 December 2018 - 14 December 2018, http://dx.doi.org/10.1007/978-3-030-03991-2_41

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