Exploration and exploitation in evolutionary algorithms
University of Maribor · California State University, Fresno
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…
Citation impact
- FWCI
- 99.32
- Percentile
- 100%
- References
- 187
Authors
3Topics & keywords
- Computer science
- Evolutionary algorithm
- Balance (ability)
- Work (physics)
- Data science
- Management science
- Artificial intelligence