Dr Hemant Kumar Singh

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Professor Tapabrata RayUniversity of New South Wales, CanberraVerified email at adfa.edu.au
Dr. Amitay IsaacsUniversity of New South Wales, CanberraVerified email at adfa.edu.au
Kalyan S BhattacharjeeSenior Manager, Data ScienceVerified email at student.adfa.edu.au
Dr. Md. AsafuddoulaUniversity of New South WalesVerified email at student.adfa.edu.au
Md Monjurul IslamLecturer, Canberra Institute of Technology, Canberra, AustraliaVerified email at student.adfa.edu.au
Saber ElsayedSenior Lecturer, Computer ScienceVerified email at unsw.edu.au
Mike RyanCapability AssociatesVerified email at capabilityassociates.com
Evgeny V MorozovProfessor, University of New South Wales, AustraliaVerified email at adfa.edu.au
Xin YaoSouthern University of Science and Technology, University of Birmingham (UK) and NORCE (Norway)Verified email at cs.bham.ac.uk
Dr Khairul AlamCasual Academic Staff, UNSW CanberraVerified email at adfa.edu.au
Trung Thanh NguyenCo-director of the LOOM institute, Professor of Operational Research in Transportation, LiverpoolVerified email at ljmu.ac.uk
Qingfu ZhangChair Professor, FIEEE, City University of Hong KongVerified email at cityu.edu.hk
Prof. Ankur SinhaIndian Institute of Management AhmedabadVerified email at iima.ac.in
George LeuSenior Research Associate, UNSW Canberra @ ADFAVerified email at adfa.edu.au
Ruhul SarkerProfessor, University of New South Wales - Australia, CanberraVerified email at adfa.edu.au
Juergen BrankeProfessor of Operational Research and Systems, Warwick Business SchoolVerified email at wbs.ac.uk
Prof. Aimin ZhouEast China Normal UniversityVerified email at cs.ecnu.edu.cn
Ranjan GanguliIndian Institute of ScienceVerified email at iisc.ac.in
Dr. Prashant PawarProfessor, SVERI's College of Engineering, PandharpurVerified email at sveri.ac.in
Yong-Lin PiProfessor, The University of New South WalesVerified email at unsw.edu.au

Dr Hemant Kumar Singh

Senior Lecturer, University of New South Wales, Canberra, Australia

Verified email at adfa.edu.au - Homepage

Evolutionary Algorithms Design Optimization Constraint handling Many-objective optimization


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A Pareto corner search evolutionary algorithm and dimensionality reduction in many-objective optimization problems HK Singh, A Isaacs, T Ray IEEE Transactions on Evolutionary Computation 15 (4), 539-556, 2011	250	2011
Infeasibility driven evolutionary algorithm for constrained optimization T Ray, HK Singh, A Isaacs, W Smith Constraint-handling in evolutionary optimization, 145-165, 2009	177	2009
An enhanced decomposition-based evolutionary algorithm with adaptive reference vectors M Asafuddoula, HK Singh, T Ray IEEE transactions on cybernetics 48 (8), 2321-2334, 2017	76	2017
Infeasibility driven evolutionary algorithm (IDEA) for engineering design optimization HK Singh, A Isaacs, T Ray, W Smith Australasian Joint Conference on Artificial Intelligence, 104-115, 2008	72	2008
C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization HK Singh, T Ray, W Smith Information Sciences 180 (13), 2499-2513, 2010	68	2010
Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems HK Singh, A Isaacs, TT Nguyen, T Ray, X Yao 2009 IEEE congress on evolutionary computation, 3127-3134, 2009	66	2009
On the use of genetic programming to evolve priority rules for resource constrained project scheduling problems S Chand, Q Huynh, H Singh, T Ray, M Wagner Information Sciences 432, 146-163, 2018	61	2018
Six-sigma robust design optimization using a many-objective decomposition-based evolutionary algorithm M Asafuddoula, HK Singh, T Ray IEEE Transactions on Evolutionary Computation 19 (4), 490-507, 2014	60	2014
A multiple surrogate assisted decomposition-based evolutionary algorithm for expensive multi/many-objective optimization A Habib, HK Singh, T Chugh, T Ray, K Miettinen IEEE Transactions on Evolutionary Computation 23 (6), 1000-1014, 2019	56	2019
A novel method of vibration modes selection for improving accuracy of frequency-based damage detection J Pan, Z Zhang, J Wu, KR Ramakrishnan, HK Singh Composites Part B: Engineering 159, 437-446, 2019	53	2019
Bridging the gap: Many-objective optimization and informed decision-making KS Bhattacharjee, HK Singh, M Ryan, T Ray IEEE Transactions on Evolutionary Computation 21 (5), 813-820, 2017	53	2017
Performance of infeasibility empowered memetic algorithm for CEC 2010 constrained optimization problems HK Singh, T Ray, W Smith IEEE congress on evolutionary computation, 1-8, 2010	49	2010
Vibration-based assessment of delaminations in FRP composite plates Z Zhang, M He, A Liu, HK Singh, KR Ramakrishnan, D Hui, K Shankar, ... Composites Part B: Engineering 144, 254-266, 2018	48	2018
A study on the performance of substitute distance based approaches for evolutionary many objective optimization HK Singh, A Isaacs, T Ray, W Smith Asia-Pacific Conference on Simulated Evolution and Learning, 401-410, 2008	41	2008
A surrogate assisted approach for single-objective bilevel optimization MM Islam, HK Singh, T Ray IEEE Transactions on Evolutionary Computation 21 (5), 681-696, 2017	39	2017
Multi-objective optimization with multiple spatially distributed surrogates K Shankar Bhattacharjee, H Kumar Singh, T Ray Journal of Mechanical Design 138 (9), 091401, 2016	39	2016
An enhanced memetic algorithm for single-objective bilevel optimization problems MM Islam, HK Singh, T Ray, A Sinha Evolutionary computation 25 (4), 607-642, 2017	34	2017
Performance of a hybrid EA-DE-memetic algorithm on CEC 2011 real world optimization problems HK Singh, T Ray 2011 IEEE congress of evolutionary computation (CEC), 1322-1326, 2011	34	2011
Distance-based subset selection for benchmarking in evolutionary multi/many-objective optimization HK Singh, KS Bhattacharjee, T Ray IEEE Transactions on Evolutionary Computation 23 (5), 904-912, 2018	30	2018
Surrogate assisted simulated annealing (SASA) for constrained multi-objective optimization HK Singh, T Ray, W Smith IEEE congress on evolutionary computation, 1-8, 2010	30	2010

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