| Multiobjective design optimization by an evolutionary algorithm T Ray, K Tai, KC Seow Engineering Optimization 33 (4), 399-424, 2001 | 244 | 2001 |
| A socio-behavioural simulation model for engineering design optimization S Akhtar, K Tai, T Ray Engineering Optimization 34 (4), 341-354, 2002 | 222 | 2002 |
| 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 | 219 | 2005 |
| 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 | 167 | 2006 |
| 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 | 164 | 2013 |
| 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 | 142 | 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 | 134 | 2004 |
| 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 | 128 | 2002 |
| An evolutionary algorithm for multiobjective optimization T Ray, K Tai, C Seow Eng. Optim 33 (3), 399-424, 2001 | 122 | 2001 |
| 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 | 117 | 2000 |
| 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 | 107 | 2014 |
| Graph representation for structural topology optimization using genetic algorithms SY Wang, K Tai Computers & Structures 82 (20-21), 1609-1622, 2004 | 106 | 2004 |
| 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 | 102 | 2005 |
| Probability collectives: a multi-agent approach for solving combinatorial optimization problems AJ Kulkarni, K Tai Applied Soft Computing 10 (3), 759-771, 2010 | 101 | 2010 |
| 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 | 97 | 2014 |
| 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 | 91 | 2016 |
| A multi-gene genetic programming model for estimating stress-dependent soil water retention curves A Garg, A Garg, K Tai Computational Geosciences 18, 45-56, 2014 | 89 | 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 | 82 | 2006 |
| Structural topology optimization using a genetic algorithm with a morphological geometric representation scheme K Tai, S Akhtar Structural and Multidisciplinary Optimization 30, 113-127, 2005 | 81 | 2005 |
| Comparison of regression analysis, artificial neural network and genetic programming in handling the multicollinearity problem A Garg, K Tai 2012 proceedings of international conference on modelling, identification …, 2012 | 77 | 2012 |
