Cooperative Differential Evolution With Multiple Populations for Multiobjective Optimization

This paper presents a cooperative differential evolution (DE) with multiple populations for multiobjective optimization. The proposed algorithm has M single-objective optimization subpopulations and an archive population for an M-objective optimization problem. An adaptive DE is applied to each subp...

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Bibliographic Details
Published in:	IEEE transactions on cybernetics Vol. 46; no. 12; pp. 2848 - 2861
Main Authors:	Wang, Jiahai, Zhang, Weiwei, Zhang, Jun
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.12.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Approximation methods Archive search Archives & records Computer simulation cooperative populations Customer relationship management differential evolution (DE) Estimation Evolutionary algorithms Evolutionary computation Frequency modulation many-objective optimization Mathematical programming multiobjective optimization Multiple objective analysis Optimization Parameter sensitivity Pareto optimization Populations Sociology Statistics
ISSN:	2168-2267, 2168-2275, 2168-2275
Online Access:	Get full text
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