By Associate Professor Hemant Kumar Singh

Book Chapters

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

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; 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

Journal articles

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

Zhang Z; Li S; Singh HK; Lan X; Zhang K; Wang H; Ng CT; Wang C, 2024, 'Vibration-based detection of non-overlapping delaminations in FRP beams using frequency shifts', Journal of Sound and Vibration, 583, http://dx.doi.org/10.1016/j.jsv.2024.118431

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

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

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

Ray T; Singh HK; Rahi KH; Rodemann T; Olhofer M, 2022, 'Towards identification of solutions of interest for multi-objective problems considering both objective and variable space information', Applied Soft Computing, 119, http://dx.doi.org/10.1016/j.asoc.2022.108505

Singh HK; Ray T; Rana MJ; Limmer S; Rodemann T; Olhofer M, 2022, 'Investigating the Use of Linear Programming and Evolutionary Algorithms for Multi-Objective Electric Vehicle Charging Problem', IEEE Access, 10, pp. 115322 - 115337, http://dx.doi.org/10.1109/ACCESS.2022.3218058

Tong H; Pan J; Singh HK; Luo W; Zhang Z; Hui D, 2021, 'Delamination detection in composite laminates using improved surrogate-assisted optimization', Composite Structures, 277, http://dx.doi.org/10.1016/j.compstruct.2021.114622

Rahi KH; Singh HK; Ray T, 2021, 'Partial Evaluation Strategies for Expensive Evolutionary Constrained Optimization', IEEE Transactions on Evolutionary Computation, 25, pp. 1103 - 1117, http://dx.doi.org/10.1109/TEVC.2021.3078486

Pan J; Shankar K; Singh HK; Wang H; Zhang Z; Tong H, 2021, 'Vibration-based detection of skin-stiffener debonding on composite stiffened panels using surrogate-assisted algorithms', Composite Structures, 270, http://dx.doi.org/10.1016/j.compstruct.2021.114090

Rahi KH; Singh HK; Ray T, 2021, 'Feasibility-ratio based sequencing for computationally efficient constrained optimization', Swarm and Evolutionary Computation, 62, pp. 100850, http://dx.doi.org/10.1016/j.swevo.2021.100850

Rahi KH; Singh HK; Ray T, 2021, 'Evolutionary Algorithm Embedded with Bump-Hunting for Constrained Design Optimization', Journal of Mechanical Design, 143, http://dx.doi.org/10.1115/1.4047688

Singh HK, 2020, 'Understanding hypervolume behavior theoretically for benchmarking in evolutionary multi/many-objective optimization', IEEE Transactions on Evolutionary Computation, 24, pp. 603 - 610, http://dx.doi.org/10.1109/TEVC.2019.2931191

Singh HK; Deb K, 2020, 'Investigating the equivalence between PBI and AASF scalarization for multi-objective optimization', Swarm and Evolutionary Computation, 53, pp. 100630, http://dx.doi.org/10.1016/j.swevo.2019.100630

El-Fiqi H; Campbell B; Elsayed S; Perry A; Singh HK; Hunjet R; Abbass HA, 2020, 'The Limits of Reactive Shepherding Approaches for Swarm Guidance', IEEE Access, 8, pp. 214658 - 214671, http://dx.doi.org/10.1109/ACCESS.2020.3037325

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, 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, 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, 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, 48, pp. 329 - 344, http://dx.doi.org/10.1016/j.swevo.2019.05.002

Zhang Z; Pan J; Luo W; Ramakrishnan KR; Singh HK, 2019, 'Vibration-based delamination detection in curved composite plates', Composites Part A: Applied Science and Manufacturing, 119, pp. 261 - 274, http://dx.doi.org/10.1016/j.compositesa.2019.02.002

Pan J; Zhang Z; Wu J; Ramakrishnan KR; Singh HK, 2019, 'A novel method of vibration modes selection for improving accuracy of frequency-based damage detection', Composites Part B: Engineering, 159, pp. 437 - 446, http://dx.doi.org/10.1016/j.compositesb.2018.08.134

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

Fernandez-Rojas R; Perry A; Singh H; Campbell B; Elsayed S; Hunjet R; Abbass HA, 2019, 'Contextual Awareness in Human-Advanced-Vehicle Systems: A Survey', IEEE Access, 7, pp. 33304 - 33328, http://dx.doi.org/10.1109/ACCESS.2019.2902812

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, 22, pp. 733 - 747, http://dx.doi.org/10.1109/TEVC.2018.2840056

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

Zhang Z; He M; Liu A; Singh HK; Ramakrishnan KR; Hui D; Shankar K; Morozov EV, 2018, 'Vibration-based assessment of delaminations in FRP composite plates', Composites Part B: Engineering, 144, pp. 254 - 266, http://dx.doi.org/10.1016/j.compositesb.2018.03.003

Keshk M; Singh H; Abbass H, 2018, 'Automatic estimation of differential evolution parameters using Hidden Markov Models', Evolutionary Intelligence, 10, pp. 77 - 93, http://dx.doi.org/10.1007/s12065-018-0153-5

Bhattacharjee KS; Singh HK; Ray T, 2018, 'Multiple surrogate-Assisted many-objective optimization for computationally expensive engineering design', Journal of Mechanical Design, 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, 432, pp. 146 - 163, http://dx.doi.org/10.1016/j.ins.2017.12.013

He Y; Wan J; Lei X; Singh H, 2018, 'Flood disaster level evaluation using a particle swarm optimization algorithm considering decision maker's preference', Water Science and Technology: Water Supply, 18, pp. 288 - 298, http://dx.doi.org/10.2166/ws.2017.118

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

Islam MM; Singh HK; Ray T, 2017, 'A surrogate assisted approach for single-objective bilevel optimization', IEEE Transactions on Evolutionary Computation, 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, 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

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