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 accessAbstract
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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Cites
Evolving Neural Networks through Augmenting Topologies
Stanley, K. O., & Miikkulainen, R. (2002) · Evolutionary Computation · doi:10.1162/106365602320169811 · Cited by 3,258
A Cooperative Approach to Particle Swarm Optimization
vandenBergh, F., & Engelbrecht, A. P. (2004) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2004.826069 · Cited by 2,120
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Coevolutionary games—A mini review
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A cooperative coevolutionary approach to function optimization
Potter, M. A., & Jong, K. A. (1994) · Lecture Notes in Computer Science · doi:10.1007/3-540-58484-6_269 · Cited by 1,510
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Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Potter, M. A., & Jong, K. A. D. (2000) · Evolutionary Computation · doi:10.1162/106365600568086 · Cited by 1,196
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Cited by
Shaikh, P. W., El-Abd, M., Khanafer, M., & Gao, K. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.3014296 · Cited by 183
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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