Kang Tai

50 papers A 1B 13C 3Journal 24Unranked 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
Metamodel-Based Multidisciplinary Design Optimization of Geostationary Debris Removal Satellites.
IEEE Trans. Aerosp. Electron. Syst.
Zhao Wei, Teng Long, Kang Tai, Renhe Shi
2024 — conf
Multi-regional urban systems vulnerability and disaster impact analysis.
SysCon
Xiuke Tang, Pradeep V. Mandapaka, Kang Tai, Edmond Yat-Man Lo
2023 J jnl
Optimal Power and Energy Management Control for Hybrid Fuel Cell-Fed Shipboard DC Microgrid.
IEEE Trans. Intell. Transp. Syst.
Wenjie Chen, Kang Tai, Michael Wai Shing Lau, Ahmed Abdelhakim, Ricky Chan, Alf Kare Adnanes, Tegoeh Tjahjowidodo
2023 J jnl
Robust Real-Time Shipboard Energy Management System With Improved Adaptive Model Predictive Control.
IEEE Access
Wenjie Chen, Kang Tai, Michael Wai Shing Lau, Ahmed Abdelhakim, Ricky Chan, Alf Kare Adnanes, Tegoeh Tjahjowidodo
2021 J jnl
Vulnerability analysis of critical infrastructure network.
Int. J. Crit. Infrastructure Prot.
Akhila Kizhakkedath, Kang Tai
2020 J jnl
Network topological approach to modeling accident causations and characteristics: Analysis of railway incidents in Japan.
Reliab. Eng. Syst. Saf.
Chi Yung Lam, Kang Tai
2019 J jnl
Modelling critical infrastructure network interdependencies and failure.
Int. J. Crit. Infrastructures
Jiwei Lin, Kang Tai, Robert Tiong Lee Kong, Mong Soon Sim
2018 J jnl
Modeling infrastructure interdependencies by integrating network and fuzzy set theory.
Int. J. Crit. Infrastructure Prot.
Chi Yung Lam, Kang Tai
2017 J jnl
True stress measurement of nuclear fuel rod cladding material subjected to DSA regime.
Neural Comput. Appl.
Akhil Garg, Biranchi Narayan Panda, Kang Tai
2016 — conf
A General Framework for Critical Infrastructure Interdependencies Modeling Using Economic Input-Output Model and Network Analysis.
CSDM Asia
Jiwei Lin, Kang Tai, Robert L. K. Tiong, Mong Soon Sim
2016 J jnl
Constraint handling in probability collectives using a modified feasibility-based rule.
Int. J. Comput. Sci. Eng.
Anand J. Kulkarni, Neha S. Patankar, Kang Tai
2016 J jnl
Probability collectives for solving discrete and mixed variable problems.
Int. J. Comput. Aided Eng. Technol.
Anand J. Kulkarni, Ishaan R. Kale, Kang Tai
2016 — conf
Resilience Analysis on Infrastructure Networks with Heterogeneous Nodes.
CSDM
Chi Yung Lam, Kang Tai
2015 — book
Probability Collectives - A Distributed Multi-agent System Approach for Optimization
Anand Jayant Kulkarni, Kang Tai, Ajith Abraham
2014 J jnl
A hybrid \(\text{ M}5^\prime \) -genetic programming approach for ensuring greater trustworthiness of prediction ability in modelling of FDM process.
J. Intell. Manuf.
Akhil Garg, Kang Tai, C. H. Lee, M. M. Savalani
2014 — conf
An Improved Multi-Gene Genetic Programming Approach for the Evolution of Generalized Model in Modelling of Rapid Prototyping Process.
IEA/AIE (1)
Akhil Garg, Kang Tai
2014 J jnl
An embedded simulation approach for modeling the thermal conductivity of 2D nanoscale material.
Simul. Model. Pract. Theory
Akhil Garg, V. Vijayaraghavan, Chee How Wong, Kang Tai, Liang Gao
2014 J jnl
An integrated SRM-multi-gene genetic programming approach for prediction of factor of safety of 3-D soil nailed slopes.
Eng. Appl. Artif. Intell.
Akhil Garg, Ankit Garg, Kang Tai, S. Sreedeep
2014 J jnl
Combined CI-MD approach in formulation of engineering moduli of single layer graphene sheet.
Simul. Model. Pract. Theory
Akhil Garg, V. Vijayaraghavan, Chee How Wong, Kang Tai, K. Sumithra, Liang Gao, Pravin M. Singru
2014 J jnl
Multi-criteria probability collectives.
Int. J. Bio Inspired Comput.
Neha S. Patankar, Anand Jayant Kulkarni, Kang Tai, T. D. Ghate, A. R. Parvate
2014 J jnl
Performance evaluation of microbial fuel cell by artificial intelligence methods.
Expert Syst. Appl.
Akhil Garg, V. Vijayaraghavan, S. S. Mahapatra, Kang Tai, Chee How Wong
2014 J jnl
Stepwise approach for the evolution of generalized genetic programming model in prediction of surface finish of the turning process.
Adv. Eng. Softw.
Akhil Garg, Kang Tai
2013 — ch.
A Probability Collectives Approach for Multi-Agent Distributed and Cooperative Optimization with Tolerance for Agent Failure.
Agent-Based Optimization
Anand J. Kulkarni, Kang Tai
2013 — conf
An Agent-Based Modeling and Evolutionary Optimization Approach for Vulnerability Analysis of Critical Infrastructure Networks.
AsiaSim
Akhila Kizhakkedath, Kang Tai, Mong Soon Sim, Robert Lee Kong Tiong, Jiaying Lin
2013 J jnl
Comparison of statistical and machine learning methods in modelling of data with multicollinearity.
Int. J. Model. Identif. Control.
Akhil Garg, Kang Tai
2013 — conf
Empirical analysis of model selection criteria for genetic programming in modeling of time series system.
CIFEr
Akhil Garg, S. Sriram, Kang Tai
2013 — conf
Genetic Programming for Modeling Vibratory Finishing Process: Role of Experimental Designs and Fitness Functions.
SEMCCO (2)
Akhil Garg, Kang Tai
2013 J jnl
Identifying vulnerabilities in critical infrastructures by network analysis.
Int. J. Crit. Infrastructures
Chi Yung Lam, Jiaying Lin, Mong Soon Sim, Kang Tai
2013 J jnl
Review of empirical modelling techniques for modelling of turning process.
Int. J. Model. Identif. Control.
Akhil Garg, Yogesh Bhalerao, Kang Tai
2013 C conf
Selection of a robust experimental design for the effective modeling of nonlinear systems using Genetic Programming.
CIDM
Akhil Garg, Kang Tai
2012 C conf
A modified feasibility-based rule for solving constrained optimization problems using Probability Collectives.
HIS
Anand J. Kulkarni, Neha S. Patankar, Amani Sandupatla, Kang Tai
2012 C conf
Discrete optimization of truss structure using Probability Collectives.
HIS
Anand J. Kulkarni, Ishaan R. Kale, Kang Tai, S. Kazemzadeh Azad
2011 J jnl
A Probability Collectives Approach with a Feasibility-Based Rule for Constrained Optimization.
Appl. Comput. Intell. Soft Comput.
Anand J. Kulkarni, Kang Tai
2011 J jnl
Solving Constrained Optimization Problems Using Probability Collectives and a Penalty Function Approach.
Int. J. Comput. Intell. Appl.
Anand J. Kulkarni, Kang Tai
2010 B conf
Probability Collectives: A distributed optimization approach for constrained problems.
IEEE Congress on Evolutionary Computation
Anand Jayant Kulkarni, Kang Tai
2010 J jnl
Probability Collectives: A multi-agent approach for solving combinatorial optimization problems.
Appl. Soft Comput.
Anand Jayant Kulkarni, Kang Tai
2008 B conf
Hybrid GA multiobjective optimization for the design of compliant micro-actuators.
SMC
Kang Tai, Nianfeng F. Wang, Yaowen Yang
2008 B conf
Hybrid genetic algorithm for designing structures subjected to uncertainty.
SMC
Nianfeng F. Wang, Yaowen Yang, Kang Tai
2008 B conf
Optimization of structures under load uncertainties based on hybrid genetic algorithm.
IEEE Congress on Evolutionary Computation
Nianfeng F. Wang, Yaowen Yang, Kang Tai
2008 B conf
Probability Collectives for decentralized, distributed optimization: A Collective Intelligence Approach.
SMC
Anand J. Kulkarni, Kang Tai
2008 B conf
Target geometry matching problem with conflicting objectives for multiobjective topology design optimization using GA.
IEEE Congress on Evolutionary Computation
Kang Tai, Nianfeng F. Wang, Yaowen Yang
2007 B conf
A hybrid genetic algorithm for multiobjective structural optimization.
IEEE Congress on Evolutionary Computation
Nianfeng F. Wang, Kang Tai
2007 B conf
An Enhanced Chromosome Encoding and Morphological Representation of Geometry for Structural Topology Optimization using GA.
IEEE Congress on Evolutionary Computation
Kang Tai, Nianfeng F. Wang
2007 B conf
Handling objectives as adaptive constraints for multiobjective structural optimization.
IEEE Congress on Evolutionary Computation
Nianfeng F. Wang, Kang Tai
2007 B conf
Multiobjective optimization of sensor network deployment by a genetic algorithm.
IEEE Congress on Evolutionary Computation
Shao Chong Oh, Chung Huat Tan, Fook Wai Kong, Yuan-Sin Tan, Khin Hua Ng, Gee Wah Ng, Kang Tai
2007 J jnl
Optimal design of flat patterns for 3D folded structures by unfolding with topological validation.
Comput. Aided Des.
W. Liu, Kang Tai
2003 B conf
A bit-array representation GA for structural topology optimization.
IEEE Congress on Evolutionary Computation
Sheng Yin Wang, Kang Tai
2003 B conf
A framework for optimization using approximate functions.
IEEE Congress on Evolutionary Computation
Kok Sung Won, Tapabrata Ray, Kang Tai
2003 B conf
Development and testing of a morphological geometric representation scheme for topology design optimization using a genetic algorithm.
IEEE Congress on Evolutionary Computation
Kang Tai, Shamim Akhtar
2000 A conf
An Evolutionary Algorithm for Constrained Optimization.
GECCO
Tapabrata Ray, Kang Tai, Seow Kian Chye