Kang Tai
Orcid: 0000-0002-0064-3386
According to our database1,
Kang Tai
authored at least 50 papers
between 2000 and 2024.
Collaborative distances:
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Bibliography
2024
Metamodel-Based Multidisciplinary Design Optimization of Geostationary Debris Removal Satellites.
IEEE Trans. Aerosp. Electron. Syst., August, 2024
Proceedings of the IEEE International Systems Conference, 2024
2023
Optimal Power and Energy Management Control for Hybrid Fuel Cell-Fed Shipboard DC Microgrid.
IEEE Trans. Intell. Transp. Syst., December, 2023
Robust Real-Time Shipboard Energy Management System With Improved Adaptive Model Predictive Control.
IEEE Access, 2023
2021
Int. J. Crit. Infrastructure Prot., 2021
2020
Network topological approach to modeling accident causations and characteristics: Analysis of railway incidents in Japan.
Reliab. Eng. Syst. Saf., 2020
2019
Int. J. Crit. Infrastructures, 2019
2018
Modeling infrastructure interdependencies by integrating network and fuzzy set theory.
Int. J. Crit. Infrastructure Prot., 2018
2017
True stress measurement of nuclear fuel rod cladding material subjected to DSA regime.
Neural Comput. Appl., 2017
2016
Constraint handling in probability collectives using a modified feasibility-based rule.
Int. J. Comput. Sci. Eng., 2016
Int. J. Comput. Aided Eng. Technol., 2016
A General Framework for Critical Infrastructure Interdependencies Modeling Using Economic Input-Output Model and Network Analysis.
Proceedings of the Complex Systems Design & Management Asia - Smart Nations, 2016
Proceedings of the Complex Systems Design & Management, 2016
2015
Intelligent Systems Reference Library 86, Springer, ISBN: 978-3-319-16000-9, 2015
2014
Combined CI-MD approach in formulation of engineering moduli of single layer graphene sheet.
Simul. Model. Pract. Theory, 2014
An embedded simulation approach for modeling the thermal conductivity of 2D nanoscale material.
Simul. Model. Pract. Theory, 2014
A hybrid \(\text{ M}5^\prime \) -genetic programming approach for ensuring greater trustworthiness of prediction ability in modelling of FDM process.
J. Intell. Manuf., 2014
Expert Syst. Appl., 2014
An integrated SRM-multi-gene genetic programming approach for prediction of factor of safety of 3-D soil nailed slopes.
Eng. Appl. Artif. Intell., 2014
Stepwise approach for the evolution of generalized genetic programming model in prediction of surface finish of the turning process.
Adv. Eng. Softw., 2014
An Improved Multi-Gene Genetic Programming Approach for the Evolution of Generalized Model in Modelling of Rapid Prototyping Process.
Proceedings of the Modern Advances in Applied Intelligence, 2014
2013
A Probability Collectives Approach for Multi-Agent Distributed and Cooperative Optimization with Tolerance for Agent Failure.
Proceedings of the Agent-Based Optimization, 2013
Comparison of statistical and machine learning methods in modelling of data with multicollinearity.
Int. J. Model. Identif. Control., 2013
Int. J. Model. Identif. Control., 2013
Int. J. Crit. Infrastructures, 2013
Genetic Programming for Modeling Vibratory Finishing Process: Role of Experimental Designs and Fitness Functions.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013
Empirical analysis of model selection criteria for genetic programming in modeling of time series system.
Proceedings of the 2013 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2013
Selection of a robust experimental design for the effective modeling of nonlinear systems using Genetic Programming.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013
An Agent-Based Modeling and Evolutionary Optimization Approach for Vulnerability Analysis of Critical Infrastructure Networks.
Proceedings of the AsiaSim 2013, 2013
2012
A modified feasibility-based rule for solving constrained optimization problems using Probability Collectives.
Proceedings of the 12th International Conference on Hybrid Intelligent Systems, 2012
Proceedings of the 12th International Conference on Hybrid Intelligent Systems, 2012
2011
Solving Constrained Optimization Problems Using Probability Collectives and a Penalty Function Approach.
Int. J. Comput. Intell. Appl., 2011
A Probability Collectives Approach with a Feasibility-Based Rule for Constrained Optimization.
Appl. Comput. Intell. Soft Comput., 2011
2010
Probability Collectives: A multi-agent approach for solving combinatorial optimization problems.
Appl. Soft Comput., 2010
Probability Collectives: A distributed optimization approach for constrained problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2008
Proceedings of the IEEE International Conference on Systems, 2008
Proceedings of the IEEE International Conference on Systems, 2008
Probability Collectives for decentralized, distributed optimization: A Collective Intelligence Approach.
Proceedings of the IEEE International Conference on Systems, 2008
Optimization of structures under load uncertainties based on hybrid genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Target geometry matching problem with conflicting objectives for multiobjective topology design optimization using GA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Optimal design of flat patterns for 3D folded structures by unfolding with topological validation.
Comput. Aided Des., 2007
Handling objectives as adaptive constraints for multiobjective structural optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
An Enhanced Chromosome Encoding and Morphological Representation of Geometry for Structural Topology Optimization using GA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
Development and testing of a morphological geometric representation scheme for topology design optimization using a genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
2000
An Evolutionary Algorithm for Constrained Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000