A Survey on Cooperative Co-Evolutionary Algorithms

The first cooperative co-evolutionary algorithm (CCEA) was proposed by Potter and De Jong in 1994 and since then many CCEAs have been proposed and successfully applied to solving various complex optimization problems. In applying CCEAs, the complex optimization problem is decomposed into multiple su...

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Vydané v:	IEEE transactions on evolutionary computation Ročník 23; číslo 3; s. 421 - 441
Hlavní autori:	Ma, Xiaoliang, Li, Xiaodong, Zhang, Qingfu, Tang, Ke, Liang, Zhengping, Xie, Weixin, Zhu, Zexuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.06.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Benchmark testing Computer science Cooperative co-evolutionary algorithm (CCEA) Decomposition evolutionary algorithm (EA) Evolutionary algorithms Fitness genetic algorithm (GA) Genetic algorithms Google Optimization Perturbation methods Resource allocation Resource management
ISSN:	1089-778X, 1941-0026
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Abstract	The first cooperative co-evolutionary algorithm (CCEA) was proposed by Potter and De Jong in 1994 and since then many CCEAs have been proposed and successfully applied to solving various complex optimization problems. In applying CCEAs, the complex optimization problem is decomposed into multiple subproblems, and each subproblem is solved with a separate subpopulation, evolved by an individual evolutionary algorithm (EA). Through cooperative co-evolution of multiple EA subpopulations, a complete problem solution is acquired by assembling the representative members from each subpopulation. The underlying divide-and-conquer and collaboration mechanisms enable CCEAs to tackle complex optimization problems efficiently, and hence CCEAs have been attracting wide attention in the EA community. This paper presents a comprehensive survey of these CCEAs, covering problem decomposition, collaborator selection, individual fitness evaluation, subproblem resource allocation, implementations, benchmark test problems, control parameters, theoretical analyses, and applications. The unsolved challenges and potential directions for their solutions are discussed.
AbstractList	The first cooperative co-evolutionary algorithm (CCEA) was proposed by Potter and De Jong in 1994 and since then many CCEAs have been proposed and successfully applied to solving various complex optimization problems. In applying CCEAs, the complex optimization problem is decomposed into multiple subproblems, and each subproblem is solved with a separate subpopulation, evolved by an individual evolutionary algorithm (EA). Through cooperative co-evolution of multiple EA subpopulations, a complete problem solution is acquired by assembling the representative members from each subpopulation. The underlying divide-and-conquer and collaboration mechanisms enable CCEAs to tackle complex optimization problems efficiently, and hence CCEAs have been attracting wide attention in the EA community. This paper presents a comprehensive survey of these CCEAs, covering problem decomposition, collaborator selection, individual fitness evaluation, subproblem resource allocation, implementations, benchmark test problems, control parameters, theoretical analyses, and applications. The unsolved challenges and potential directions for their solutions are discussed.
Author	Tang, Ke Xie, Weixin Ma, Xiaoliang Zhang, Qingfu Li, Xiaodong Zhu, Zexuan Liang, Zhengping
Author_xml	– sequence: 1 givenname: Xiaoliang surname: Ma fullname: Ma, Xiaoliang email: maxiaoliang@yeah.net organization: College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China – sequence: 2 givenname: Xiaodong orcidid: 0000-0003-0346-1526 surname: Li fullname: Li, Xiaodong email: xiaodong.li@rmit.edu.au organization: School of Science (Computer Science and Software Engineering), RMIT University, Melbourne, VIC, Australia – sequence: 3 givenname: Qingfu surname: Zhang fullname: Zhang, Qingfu email: qingfu.zhang@cityu.edu.hk organization: Department of Computer Science, City University of Hong Kong, Hong Kong – sequence: 4 givenname: Ke orcidid: 0000-0002-6236-2002 surname: Tang fullname: Tang, Ke email: tangk3@sustc.edu.cn organization: Department of Computer Science and Engineering, Shenzhen Key Laboratory of Computational Intelligence, Southern University of Science and Technology, Shenzhen, China – sequence: 5 givenname: Zhengping orcidid: 0000-0001-6210-8373 surname: Liang fullname: Liang, Zhengping email: liangzp@szu.edu.cn organization: College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China – sequence: 6 givenname: Weixin surname: Xie fullname: Xie, Weixin email: wxxie@szu.edu.cn organization: ATR National Key Laboratory of Defense Technology, Shenzhen University, Shenzhen, China – sequence: 7 givenname: Zexuan orcidid: 0000-0001-8479-6904 surname: Zhu fullname: Zhu, Zexuan email: zhuzx@szu.edu.cn organization: College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China
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Copyright	Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019
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Snippet	The first cooperative co-evolutionary algorithm (CCEA) was proposed by Potter and De Jong in 1994 and since then many CCEAs have been proposed and successfully...
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SubjectTerms	Benchmark testing Computer science Cooperative co-evolutionary algorithm (CCEA) Decomposition evolutionary algorithm (EA) Evolutionary algorithms Fitness genetic algorithm (GA) Genetic algorithms Google Optimization Perturbation methods Resource allocation Resource management
Title	A Survey on Cooperative Co-Evolutionary Algorithms
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