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Bhattacharjee KS; Singh HK; Ryan M; Ray T, 2017, 'Bridging the gap: Many-objective optimization and informed decision-making', IEEE Transactions on Evolutionary Computation, 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, 176, pp. 844 - 859, http://dx.doi.org/10.1016/j.compstruct.2017.06.019
Asafuddoula M; Singh HK; Ray T, 2017, 'An Enhanced Decomposition-Based Evolutionary Algorithm With Adaptive Reference Vectors', IEEE Transactions on Cybernetics, http://dx.doi.org/10.1109/TCYB.2017.2737519
Zhang Z; Pan J; Fu J; Singh HK; Pi YL; Wu J; Rao R, 2017, 'Optimization of long span portal frames using spatially distributed surrogates', Steel and Composite Structures, 24, pp. 227 - 237, http://dx.doi.org/10.12989/scs.2017.24.2.227
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, 68, pp. 71 - 93, http://dx.doi.org/10.1007/s10898-016-0454-0
Bhattacharjee KS; Singh HK; Ray T, 2017, 'A novel decomposition-based evolutionary algorithm for engineering design optimization', Journal of Mechanical Design, 139, http://dx.doi.org/10.1115/1.4035862
Singh H; Chauhan G; Jain AK; Sharma SK, 2017, 'Adsorptive potential of agricultural wastes for removal of dyes from aqueous solutions', JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, 5, pp. 122 - 135, http://dx.doi.org/10.1016/j.jece.2016.11.030
Kumar Singh H; Shankar Bhattacharjee K; Ray T, 2016, 'A Projection-Based Approach for Constructing Piecewise Linear Pareto Front Approximations', Journal of Mechanical Design, 138, http://dx.doi.org/10.1115/1.4033991
Bhattacharjee KS; Singh HK; Ray T, 2016, 'Multi-Objective Optimization with Multiple Spatially Distributed Surrogates', Journal of Mechanical Design, 138, http://dx.doi.org/10.1115/1.4034035
Singh HK, 2016, 'Development of optimization methods to deal with current challenges in engineering design optimization', AI Communications, 29, pp. 219 - 221, http://dx.doi.org/10.3233/AIC-140645
Asafuddoula M; Singh HK; Ray T, 2015, 'Six-Sigma Robust Design Optimization Using a Many-Objective Decomposition-Based Evolutionary Algorithm', IEEE Transactions on Evolutionary Computation, 19, pp. 490 - 507, http://dx.doi.org/10.1109/TEVC.2014.2343791
Ray T; Asafuddoula M; Kumar Singh H; Alam K, 2015, 'An Approach to Identify Six Sigma Robust Solutions of Multi/Many-Objective Engineering Design Optimization Problems', Journal of Mechanical Design, 137, http://dx.doi.org/10.1115/1.4029704
Liu M; Singh HK; Ray T, 2014, 'Application specific instance generator and a memetic algorithm for capacitated arc routing problems', Transportation Research Part C: Emerging Technologies, 43, pp. 249 - 266, http://dx.doi.org/10.1016/j.trc.2014.04.001
Singh HK; Ray T; Sarker R, 2013, 'Optimum Oil Production Planning Using Infeasibility Driven Evolutionary Algorithm', Evolutionary Computation, 21, pp. 65 - 82, http://dx.doi.org/10.1162/EVCO_a_00064
Singh HK; Isaacs A; Ray T, 2011, 'A Pareto Corner Search Evolutionary Algorithm and Dimensionality Reduction in Many-Objective Optimization Problems', IEEE Transactions on Evolutionary Computation, 15, pp. 539 - 556, http://dx.doi.org/10.1109/TEVC.2010.2093579
Singh HK; Ray T; Smith WF, 2010, 'C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization', Information Sciences, 180, pp. 2499 - 2513, http://dx.doi.org/10.1016/j.ins.2010.03.021
Singh HK; Pawar PM; Ganguli R; Jung SN, 2008, 'On the effect of mass and stiffness unbalance on helicopter tail rotor system behavior', Aircraft Engineering and Aerospace Technology, 80, pp. 129 - 138, http://dx.doi.org/10.1108/00022660810859355
Singh HK; Pawar PM; Ganguli R; Jung SN, 2008, 'On the effect of mass and stiffness unbalance on helicopter tail rotor system behavior', AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 80, pp. 129 - 138, http://dx.doi.org/10.1108/00022660810859355
Neumann F; Neumann A; Singh HK, 2024, 'Evolutionary computation for stochastic problems', in GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pp. 1352 - 1368, http://dx.doi.org/10.1145/3638530.3648412
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
Sinha A; Pujara D; Singh HK, 2024, 'Decomposition of Difficulties in Complex Optimization Problems using a Bilevel Approach', in 2024 IEEE Congress on Evolutionary Computation, CEC 2024 - Proceedings, http://dx.doi.org/10.1109/CEC60901.2024.10611939
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
Liu J; Singh H; Elsayed S; Hunjet R; Abbass HA, 2023, 'Distance Constrained Robotic Swarm Shepherding Based on Two-Phase Ant Colony Optimisation', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 5224 - 5230, http://dx.doi.org/10.1109/SMC53992.2023.10394448
Liu J; Singh H; Elsayed S; Hunjet R; Abbass HA, 2023, 'Effective Robotic Swarm Shepherding in the Presence of Obstacles', in 2023 IEEE Congress on Evolutionary Computation, CEC 2023, http://dx.doi.org/10.1109/CEC53210.2023.10254040
Nguyen DT; Singh H; Elsayed S; Hunjet R; Abbass HA, 2023, 'Multi-agent Knowledge Transfer in a Society of Interpretable Neural Network Minds for Dynamic Context Formation in Swarm Shepherding', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN54540.2023.10191371
Singh HK; Branke J, 2022, 'Identifying Stochastically Non-dominated Solutions Using Evolutionary Computation', in Rudolph G; Kononova AV; Aguirre H; Kerschke P; Ochoa G; Tusar T (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature, Dortmund, Germany, pp. 193 - 206, presented at 17th International Conference, PPSN 2022, Dortmund, Germany, 10 September 2022 - 14 September 2022, http://dx.doi.org/10.1007/978-3-031-14721-0_14
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
Debie E; Singh H; Elsayed S; Perry A; Hunjet R; Abbass H, 2021, 'A Neuro-Evolution Approach to Shepherding Swarm Guidance in the Face of Uncertainty', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 2634 - 2641, http://dx.doi.org/10.1109/SMC52423.2021.9659082
Elsayed S; Singh H; Debie E; Perry A; Campbell B; Hunjel R; Abbass H, 2020, 'Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution', in 2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020), IEEE, Due to COVID-19 restrictions, the event was held virtually with the broadcast from Canberra, Australia., pp. 2194 - 2201, presented at 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Due to COVID-19 restrictions, the event was held virtually with the broadcast from Canberra, Australia., 01 December 2020 - 04 December 2020, http://dx.doi.org/10.1109/SSCI47803.2020.9308572
Abbass H; Coello CA; Singh HK, 2020, 'Welcome Message', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, http://dx.doi.org/10.1109/SSCI47803.2020.9308444
Elsayed S; Singh H; Debie E; Perry A; Campbell B; Hunjet R; Abbass H, 2020, 'Path Planning for Shepherding a Swarm in a Cluttered Environment using Differential Evolution', http://dx.doi.org/10.48550/arxiv.2008.12639
El-Fiqi H; Campbell B; Elsayed S; Perry A; Singh HK; Hunjet R; Abbass H, 2020, 'A preliminary study towards an improved shepherding model', in GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pp. 75 - 76, http://dx.doi.org/10.1145/3377929.3390067
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
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; Deb K, 2019, 'A parametric investigation of PBI and AASF scalarizations', in GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion, pp. 233 - 234, http://dx.doi.org/10.1145/3319619.3321886
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