Dr Hemant Singh

Senior Lecturer
School of Engineering and Information Technology
+61 2 6268 8270

LOCATION

Room 103, Building 20,
School of Engineering and Information Technology,
The University of New South Wales,
Australian Defence Force Academy,
Canberra ACT 2610, AUSTRALIA

  • ABOUT
  • PUBLICATIONS

Dr. Hemant Kumar Singh completed his PhD from University of New South Wales (UNSW) Australia in 2011 and B.Tech in Mechanical Engineering from Indian Institute of Technology (IIT) Kanpur in 2007. Since 2013, he has worked with UNSW Australia as a Lecturer (2013-2017) and Senior Lecturer (2017-) in the School of Engineering and Information Technology. He also worked with GE Aviation at John F. Welch Technology Centre as a Lead Engineer during 2011-13. His research interests include development of evolutionary computation methods with a focus on engineering design optimization problems. He has over 50 refereed publications this area. He is the recipient of Australia Bicentennial Fellowship 2016, WCSMO Early Career Researcher Fellowship 2015 and The Australian Society for Defence Engineering Prize 2011 among others. More details are available at his personal webpage: http://www.mdolab.net/Hemant/.

Book Chapters

Bhattacharjee KS; Singh HK; Ray T, 2020, 'Many-objective optimization with limited computing budget', in , 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 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

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

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

Singh HK, 2019, 'Understanding Hypervolume Behavior Theoretically for Benchmarking in Evolutionary Multi/ Many-objective Optimization', IEEE Transactions on Evolutionary Computation, http://dx.doi.org/10.1109/TEVC.2019.2931191

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

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, vol. 7, pp. 33304 - 33328, http://dx.doi.org/10.1109/ACCESS.2019.2902812

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, http://dx.doi.org/10.1109/TEVC.2019.2899030

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, vol. 119, pp. 261 - 274, http://dx.doi.org/10.1016/j.compositesa.2019.02.002

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

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, vol. 159, pp. 437 - 446, http://dx.doi.org/10.1016/j.compositesb.2018.08.134

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

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, vol. 144, pp. 254 - 266, http://dx.doi.org/10.1016/j.compositesb.2018.03.003

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

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

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

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, vol. 18, pp. 288 - 298, http://dx.doi.org/10.2166/ws.2017.118

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

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

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

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

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

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

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, vol. 24, pp. 227 - 237, http://dx.doi.org/10.12989/scs.2017.24.2.227

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

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

Kumar Singh H; Shankar Bhattacharjee K; Ray T, 2016, 'A Projection-Based Approach for Constructing Piecewise Linear Pareto Front Approximations', Journal of Mechanical Design, Transactions of the ASME, vol. 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, Transactions of the ASME, vol. 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, vol. 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, vol. 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, Transactions of the ASME, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 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, vol. 80, pp. 129 - 138, http://dx.doi.org/10.1108/00022660810859355

Conference Papers

Singh H; Campbell B; Elsayed S; Perry A; Hunjet R; Abbass H, 2019, 'Modulation of Force Vectors for Effective Shepherding of a Swarm: A Bi-Objective Approach', in 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, pp. 2941 - 2948, http://dx.doi.org/10.1109/CEC.2019.8790228

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, pp. 1642 - 1649, 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

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

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

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

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), pp. 707 - 718, 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), pp. 384 - 396, 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

Chand S; Singh HK; Ray T, 2018, 'Team Selection Using Multi-/Many-Objective Optimization with Integer Linear Programming', in 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings, http://dx.doi.org/10.1109/CEC.2018.8477945

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