Kang Tai
Cited by
Cited by
Multiobjective design optimization by an evolutionary algorithm
T Ray, K Tai, KC Seow
Engineering Optimization 33 (4), 399-424, 2001
Structural topology design optimization using genetic algorithms with a bit-array representation
SY Wang, K Tai
Computer methods in applied mechanics and engineering 194 (36-38), 3749-3770, 2005
A socio-behavioural simulation model for engineering design optimization
S Akhtar, K Tai, T Ray
Engineering Optimization 34 (4), 341-354, 2002
An enhanced genetic algorithm for structural topology optimization
SY Wang, K Tai, MY Wang
International Journal for Numerical Methods in Engineering 65 (1), 18-44, 2006
Design synthesis of path generating compliant mechanisms by evolutionary optimization of topology and shape
K Tai, GY Cui, T Ray
J. Mech. Des. 124 (3), 492-500, 2002
Design of structures and compliant mechanisms by evolutionary optimization of morphological representations of topology
K Tai, TH Chee
J. Mech. Des. 122 (4), 560-566, 2000
State-of-the-art in empirical modelling of rapid prototyping processes
A Garg, K Tai, MM Savalani
Rapid Prototyping Journal 20 (2), 164-178, 2014
An evolutionary approach for cooling system optimization in plastic injection moulding
YC Lam, LY Zhai, K Tai, SC Fok
International journal of production research 42 (10), 2047-2061, 2004
An evolutionary algorithm for multiobjective optimization
T Ray, K Tai, C Seow
Engineering Optimization 33 (3), 399-424, 2001
Comparison of statistical and machine learning methods in modelling of data with multicollinearity
A Garg, K Tai
International Journal of Modelling, Identification and Control 18 (4), 295-312, 2013
Graph representation for structural topology optimization using genetic algorithms
SY Wang, K Tai
Computers & Structures 82 (20-21), 1609-1622, 2004
Probability collectives: a multi-agent approach for solving combinatorial optimization problems
AJ Kulkarni, K Tai
Applied Soft Computing 10 (3), 759-771, 2010
Radial point interpolation collocation method (RPICM) for partial differential equations
X Liu, GR Liu, K Tai, KY Lam
Computers & Mathematics with Applications 50 (8-9), 1425-1442, 2005
An integrated SRM-multi-gene genetic programming approach for prediction of factor of safety of 3-D soil nailed slopes
A Garg, A Garg, K Tai, S Sreedeep
Engineering Applications of Artificial Intelligence 30, 30-40, 2014
Performance evaluation of microbial fuel cell by artificial intelligence methods
A Garg, V Vijayaraghavan, SS Mahapatra, K Tai, CH Wong
Expert systems with applications 41 (4), 1389-1399, 2014
A multi-gene genetic programming model for estimating stress-dependent soil water retention curves
A Garg, A Garg, K Tai
Computational Geosciences 18 (1), 45-56, 2014
Topology optimization of piezoelectric sensors/actuators for torsional vibration control of composite plates
SY Wang, K Tai, ST Quek
Smart materials and Structures 15 (2), 253, 2006
Structural topology optimization using a genetic algorithm with a morphological geometric representation scheme
K Tai, S Akhtar
Structural and Multidisciplinary Optimization 30 (2), 113-127, 2005
Analytical gradient-based optimization of offshore wind turbine substructures under fatigue and extreme loads
KH Chew, K Tai, EYK Ng, M Muskulus
Marine Structures 47, 23-41, 2016
Review of genetic programming in modeling of machining processes
A Garg, K Tai
2012 Proceedings of International Conference on Modelling, Identification …, 2012
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