Dr Hemant Kumar Singh
Dr Hemant Kumar Singh
Senior Lecturer, University of New South Wales, Canberra, Australia
Verified email at adfa.edu.au - Homepage
Title
Cited by
Cited by
Year
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
2382011
Infeasibility driven evolutionary algorithm for constrained optimization
T Ray, HK Singh, A Isaacs, W Smith
Constraint-handling in evolutionary optimization, 145-165, 2009
1602009
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
702008
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
672009
C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization
HK Singh, T Ray, W Smith
Information Sciences 180 (13), 2499-2513, 2010
602010
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
552017
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
502014
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
442010
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
432017
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
412008
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
402018
Multi-objective optimization with multiple spatially distributed surrogates
K Shankar Bhattacharjee, H Kumar Singh, T Ray
Journal of Mechanical Design 138 (9), 2016
372016
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
322018
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
312011
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
292019
Optimum oil production planning using infeasibility driven evolutionary algorithm
HK Singh, T Ray, R Sarker
Evolutionary Computation 21 (1), 65-82, 2013
292013
Surrogate assisted simulated annealing (SASA) for constrained multi-objective optimization
HK Singh, T Ray, W Smith
IEEE congress on evolutionary computation, 1-8, 2010
292010
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
282017
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
272017
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
262019
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Articles 1–20