NDLI: Cooperative Co-evolution with Formula Based Grouping and CMA for Large Scale Optimization

Content Provider	IEEE Xplore Digital Library
Author	Haiyan Liu Shiwei Guan Fangjie Liu Yuping Wang
Copyright Year	2015
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Xidian Univ., Xi'an, China (Haiyan Liu; Shiwei Guan; Fangjie Liu; Yuping Wang)
Abstract	Cooperative co-evolution framework is widely used in large scale optimization problems. Usually, the large scale problem is divided into smaller sub groups using black-box decomposition methods based on variable interactions. However these black-box decomposition methods have limitations in finding correct variable interactions. In this paper, a white-box decomposition method named formula based grouping (FBG) is adopted and further improved. Also, we extend the covariance matrix adaptation to work with FBG under the cooperative co-evolution framework. Based on it, a new evolutionary algorithm is proposed for handling large scale optimization problems. The numerical experiments on CEC' 2013 benchmark suit shows the efficiency of the proposed algorithm.
Starting Page	282
Ending Page	285
File Size	397281
Page Count	4
File Format	PDF
e-ISBN	9781467386609
DOI	10.1109/CIS.2015.76
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	large scale optimization white-box grouping covariance matrix adaptation Sociology cooperative co-evolution Evolutionary computation Benchmark testing Search problems decomposition Covariance matrices Optimization
Content Type	Text
Resource Type	Article

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