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Cited by 336

The DOI matches its Crossref record; 117 of the 117 references it cites were found in a registry or an index.

A Survey on Cooperative Co-Evolutionary Algorithms

Open access
Ma, Xiaoliang, Li, Xiaodong, Zhang, Qingfu, Tang, Ke, Liang, Zhengping, Xie, Weixin, Zhu, Zexuan·2019·IEEE Transactions on Evolutionary Computation

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.

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Metadata

Authors
Ma, X., Li, X., Zhang, Q., Tang, K., Liang, Z., Xie, W., & Zhu, Z.
Venue
IEEE Transactions on Evolutionary Computation
Published
2019-06
Volume
23
Issue
3
Pages
421-441
ISSN
  • 1089-778X (ISSN-L)
  • 1941-0026
OpenAlex
W2892336140
Cited by
336
References
117
FWCI
13.01
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A Survey on Cooperative Co-Evolutionary Algorithms. https://app.cochat.ai/papers/10.1109/tevc.2018.2868770
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Ma, X., Li, X., Zhang, Q., Tang, K., Liang, Z., Xie, W., & Zhu, Z. (2019). A Survey on Cooperative Co-Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation. https://doi.org/10.1109/tevc.2018.2868770

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