Cooperative Artificial Bee Colony Algorithm With Multiple Populations for Interval Multiobjective Optimization Problems

In practical engineering optimization problems (such as risk assessments), the parameters of the objective functions can be intervals because of noise and uncertainty; however, such problems cannot be solved by traditional multiobjective optimization methods. Yet, very little study has addressed int...

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Veröffentlicht in:	IEEE transactions on fuzzy systems Jg. 27; H. 5; S. 1052 - 1065
Hauptverfasser:	Zhang, Liming, Wang, Saisai, Zhang, Kai, Zhang, Xiuqing, Sun, Zhixue, Zhang, Hao, Chipecane, Miguel Tome, Yao, Jun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.05.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Archive search artificial bee colony cooperative populations Credibility Evolutionary algorithms interval multiobjective optimization Intervals Linear programming Mathematical programming Multiple objective analysis Optimization Optimization methods Pareto optimum Particle swarm optimization Populations Search algorithms Sociology Statistics Swarm intelligence uncertain multicriteria decision-making
ISSN:	1063-6706, 1941-0034
Online-Zugang:	Volltext
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