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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Vydané v:	IEEE transactions on fuzzy systems Ročník 27; číslo 5; s. 1052 - 1065
Hlavní autori:	Zhang, Liming, Wang, Saisai, Zhang, Kai, Zhang, Xiuqing, Sun, Zhixue, Zhang, Hao, Chipecane, Miguel Tome, Yao, Jun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.05.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
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