The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Exploration and exploitation in evolutionary algorithms: A survey
Abstract
“Exploration and exploitation are the two cornerstones of problem solving by search.” For more than a decade, Eiben and Schippers' advocacy for balancing between these two antagonistic cornerstones still greatly influences the research directions of evolutionary algorithms (EAs) [1998]. This article revisits nearly 100 existing works and surveys how such works have answered the advocacy. The article introduces a fresh treatment that classifies and discusses existing work within three rational aspects: (1) what and how EA components contribute to exploration and exploitation; (2) when and how exploration and exploitation are controlled; and (3) how balance between exploration and exploitation is achieved. With a more comprehensive and systematic understanding of exploration and exploitation, more research in this direction may be motivated and refined.
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Cites
Storn, R., & Price, K. (1997) · Journal of Global Optimization · doi:10.1023/a:1008202821328 · Cited by 29,569
Cited by
Merrikh-Bayat, F. (2015) · Applied Soft Computing · doi:10.1016/j.asoc.2015.04.048 · Cited by 134
Xhafa, F., & Ip, A. W. H. (2021) · Enterprise Information Systems · doi:10.1080/17517575.2019.1593508 · Cited by 57
AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench
Toledo, E., Hambardzumyan, K., Josifoski, M., Hazra, R., Baldwin, N., Audran-Reiss, A., Kuchnik, M., Magka, D., Jiang, M., Lupidi, A. M., et al. (2025) · arXiv · doi:10.48550/arxiv.2507.02554
Metadata
- Authors
- Črepinšek, M., Liu, S.-H., & Mernik, M.
- Venue
- ACM Computing Surveys
- Published
- 2013-06
- Volume
- 45
- Issue
- 3
- Pages
- 1-33
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W1968075052
- Cited by
- 1,298
- References
- 1
- FWCI
- 72.88
- Type
- journal article
- Language
- en
- Open access
- closed
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- Črepinšek, M., Liu, S.-H., & Mernik, M. (2013). Exploration and exploitation in evolutionary algorithms: A survey. ACM Computing Surveys. https://doi.org/10.1145/2480741.2480752
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