Kang Tai

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 13

Top Topics

Fuzzy Set Theory

Model Predictive Control

Genetic Programming

Top Venues

Simul. Model. Pract. Theory

Int. J. Crit. Infrastructure Prot.

Int. J. Comput. Sci. Eng.

Publications

Zhao Wei, Teng Long, Kang Tai, Renhe Shi
Metamodel-Based Multidisciplinary Design Optimization of Geostationary Debris Removal Satellites. IEEE Trans. Aerosp. Electron. Syst. 60 (4) (2024)
Xiuke Tang, Pradeep V. Mandapaka, Kang Tai, Edmond Yat-Man Lo
Multi-regional urban systems vulnerability and disaster impact analysis. SysCon (2024)
Wenjie Chen, Kang Tai, Michael Wai Shing Lau, Ahmed Abdelhakim, Ricky Chan, Alf Kare Adnanes, Tegoeh Tjahjowidodo
Robust Real-Time Shipboard Energy Management System With Improved Adaptive Model Predictive Control. IEEE Access 11 (2023)
Wenjie Chen, Kang Tai, Michael Wai Shing Lau, Ahmed Abdelhakim, Ricky Chan, Alf Kare Adnanes, Tegoeh Tjahjowidodo
Optimal Power and Energy Management Control for Hybrid Fuel Cell-Fed Shipboard DC Microgrid. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Akhila Kizhakkedath, Kang Tai
Vulnerability analysis of critical infrastructure network. Int. J. Crit. Infrastructure Prot. 35 (2021)
Chi Yung Lam, Kang Tai
Network topological approach to modeling accident causations and characteristics: Analysis of railway incidents in Japan. Reliab. Eng. Syst. Saf. 193 (2020)
Jiwei Lin, Kang Tai, Robert Tiong Lee Kong, Mong Soon Sim
Modelling critical infrastructure network interdependencies and failure. Int. J. Crit. Infrastructures 15 (1) (2019)
Chi Yung Lam, Kang Tai
Modeling infrastructure interdependencies by integrating network and fuzzy set theory. Int. J. Crit. Infrastructure Prot. 22 (2018)
Akhil Garg, Biranchi Narayan Panda, Kang Tai
True stress measurement of nuclear fuel rod cladding material subjected to DSA regime. Neural Comput. Appl. 28 (S-1) (2017)
Chi Yung Lam, Kang Tai
Resilience Analysis on Infrastructure Networks with Heterogeneous Nodes. CSDM (2016)
Anand J. Kulkarni, Neha S. Patankar, Kang Tai
Constraint handling in probability collectives using a modified feasibility-based rule. Int. J. Comput. Sci. Eng. 13 (4) (2016)
Anand J. Kulkarni, Ishaan R. Kale, Kang Tai
Probability collectives for solving discrete and mixed variable problems. Int. J. Comput. Aided Eng. Technol. 8 (4) (2016)
Jiwei Lin, Kang Tai, Robert L. K. Tiong, Mong Soon Sim
A General Framework for Critical Infrastructure Interdependencies Modeling Using Economic Input-Output Model and Network Analysis. CSDM Asia (2016)
Akhil Garg, V. Vijayaraghavan, C. H. Wong, Kang Tai, Liang Gao
An embedded simulation approach for modeling the thermal conductivity of 2D nanoscale material. Simul. Model. Pract. Theory 44 (2014)
Akhil Garg, Kang Tai
An Improved Multi-Gene Genetic Programming Approach for the Evolution of Generalized Model in Modelling of Rapid Prototyping Process. IEA/AIE (1) (2014)
Akhil Garg, V. Vijayaraghavan, S. S. Mahapatra, Kang Tai, C. H. Wong
Performance evaluation of microbial fuel cell by artificial intelligence methods. Expert Syst. Appl. 41 (4) (2014)
Akhil Garg, Kang Tai
Stepwise approach for the evolution of generalized genetic programming model in prediction of surface finish of the turning process. Adv. Eng. Softw. 78 (2014)
Neha S. Patankar, Anand Jayant Kulkarni, Kang Tai, T. D. Ghate, A. R. Parvate
Multi-criteria probability collectives. Int. J. Bio Inspired Comput. 6 (6) (2014)
Akhil Garg, V. Vijayaraghavan, C. H. Wong, Kang Tai, K. Sumithra, Liang Gao, Pravin M. Singru
Combined CI-MD approach in formulation of engineering moduli of single layer graphene sheet. Simul. Model. Pract. Theory 48 (2014)
Akhil Garg, Kang Tai, C. H. Lee, M. M. Savalani
A hybrid \(\text{ M}5^\prime \) -genetic programming approach for ensuring greater trustworthiness of prediction ability in modelling of FDM process. J. Intell. Manuf. 25 (6) (2014)
Akhil Garg, Ankit Garg, Kang Tai, S. Sreedeep
An integrated SRM-multi-gene genetic programming approach for prediction of factor of safety of 3-D soil nailed slopes. Eng. Appl. Artif. Intell. 30 (2014)
Akhil Garg, Kang Tai
Genetic Programming for Modeling Vibratory Finishing Process: Role of Experimental Designs and Fitness Functions. SEMCCO (2) (2013)
Akhila Kizhakkedath, Kang Tai, Mong Soon Sim, Robert Lee Kong Tiong, Jiaying Lin
An Agent-Based Modeling and Evolutionary Optimization Approach for Vulnerability Analysis of Critical Infrastructure Networks. AsiaSim (2013)
Chi Yung Lam, Jiaying Lin, Mong Soon Sim, Kang Tai
Identifying vulnerabilities in critical infrastructures by network analysis. Int. J. Crit. Infrastructures 9 (3) (2013)
Akhil Garg, S. Sriram, Kang Tai
Empirical analysis of model selection criteria for genetic programming in modeling of time series system. CIFEr (2013)
Akhil Garg, Yogesh Bhalerao, Kang Tai
Review of empirical modelling techniques for modelling of turning process. Int. J. Model. Identif. Control. 20 (2) (2013)
Akhil Garg, Kang Tai
Selection of a robust experimental design for the effective modeling of nonlinear systems using Genetic Programming. CIDM (2013)
Akhil Garg, Kang Tai
Comparison of statistical and machine learning methods in modelling of data with multicollinearity. Int. J. Model. Identif. Control. 18 (4) (2013)
Anand J. Kulkarni, Ishaan R. Kale, Kang Tai, S. Kazemzadeh Azad
Discrete optimization of truss structure using Probability Collectives. HIS (2012)
Anand J. Kulkarni, Neha S. Patankar, Amani Sandupatla, Kang Tai
A modified feasibility-based rule for solving constrained optimization problems using Probability Collectives. HIS (2012)
Anand J. Kulkarni, Kang Tai
A Probability Collectives Approach with a Feasibility-Based Rule for Constrained Optimization. Appl. Comput. Intell. Soft Comput. 2011 (2011)
Anand J. Kulkarni, Kang Tai
Solving Constrained Optimization Problems Using Probability Collectives and a Penalty Function Approach. Int. J. Comput. Intell. Appl. 10 (4) (2011)
Anand Jayant Kulkarni, Kang Tai
Probability Collectives: A multi-agent approach for solving combinatorial optimization problems. Appl. Soft Comput. 10 (3) (2010)
Anand Jayant Kulkarni, Kang Tai
Probability Collectives: A distributed optimization approach for constrained problems. IEEE Congress on Evolutionary Computation (2010)
Nianfeng F. Wang, Yaowen Yang, Kang Tai
Hybrid genetic algorithm for designing structures subjected to uncertainty. SMC (2008)
Nianfeng F. Wang, Yaowen Yang, Kang Tai
Optimization of structures under load uncertainties based on hybrid genetic algorithm. IEEE Congress on Evolutionary Computation (2008)
Kang Tai, Nianfeng F. Wang, Yaowen Yang
Target geometry matching problem with conflicting objectives for multiobjective topology design optimization using GA. IEEE Congress on Evolutionary Computation (2008)
Anand J. Kulkarni, Kang Tai
Probability Collectives for decentralized, distributed optimization: A Collective Intelligence Approach. SMC (2008)
Kang Tai, Nianfeng F. Wang, Yaowen Yang
Hybrid GA multiobjective optimization for the design of compliant micro-actuators. SMC (2008)
Kang Tai, Nianfeng F. Wang
An Enhanced Chromosome Encoding and Morphological Representation of Geometry for Structural Topology Optimization using GA. IEEE Congress on Evolutionary Computation (2007)
W. Liu, Kang Tai
Optimal design of flat patterns for 3D folded structures by unfolding with topological validation. Comput. Aided Des. 39 (10) (2007)
Nianfeng F. Wang, Kang Tai
Handling objectives as adaptive constraints for multiobjective structural optimization. IEEE Congress on Evolutionary Computation (2007)
Shao Chong Oh, Chung Huat Tan, Fook Wai Kong, Yuan-Sin Tan, Khin Hua Ng, Gee Wah Ng, Kang Tai
Multiobjective optimization of sensor network deployment by a genetic algorithm. IEEE Congress on Evolutionary Computation (2007)
Nianfeng F. Wang, Kang Tai
A hybrid genetic algorithm for multiobjective structural optimization. IEEE Congress on Evolutionary Computation (2007)
Kok Sung Won, Tapabrata Ray, Kang Tai
A framework for optimization using approximate functions. IEEE Congress on Evolutionary Computation (2003)
Kang Tai, Shamim Akhtar
Development and testing of a morphological geometric representation scheme for topology design optimization using a genetic algorithm. IEEE Congress on Evolutionary Computation (2003)
Sheng Yin Wang, Kang Tai
A bit-array representation GA for structural topology optimization. IEEE Congress on Evolutionary Computation (2003)
Tapabrata Ray, Kang Tai, Seow Kian Chye
An Evolutionary Algorithm for Constrained Optimization. GECCO (2000)