Evolution strategies: basic introduction
Abstract
References
Index Terms
- Evolution strategies: basic introduction
Recommendations
On three new approaches to handle constraints within evolution strategies
Evolutionary algorithms with a self-adaptive step control mechanism like evolution strategies (ES) often suffer from premature fitness stagnation on constrained numerical optimization problems. When the optimum lies on the constraint boundary or even in ...
Niching in evolution strategies
GECCO '05: Proceedings of the 7th annual conference on Genetic and evolutionary computationEAs have the tendency to converge quickly into a single solution. Niching methods, the extension of EAs to address this issue, have been investigated up to date mainly within the field of Genetic Algorithms (GAs). In our study we investigate the basis ...
Evolution strategies: basic introduction
GECCO '12: Proceedings of the 14th annual conference companion on Genetic and evolutionary computationThis tutorial gives a basic introduction to evolution strategies, a class of evolutionary algorithms. Key features such as mutation, recombination and selection operators are explained, and specifically the concept of self-adaptation of strategy ...
Comments
Information & Contributors
Information
Published In
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tag
Qualifiers
- Introduction
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 178Total Downloads
- Downloads (Last 12 months)11
- Downloads (Last 6 weeks)3
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in