skip to main content
10.1145/2464576.2480798acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
introduction
Free access

Evolution strategies: basic introduction

Published: 06 July 2013 Publication History

Abstract

This 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 parameters is introduced.
All algorithmic concepts are explained to a level of detail such that an implementation of basic evolution strategies is possible.
Some guidelines for utilization as well as some application examples are given.

References

[1]
H.-P. Schwefel: Evolution and Optimum Seeking, Wiley, NY, 1995.
[2]
I. Rechenberg: Evolutionsstrategie 94, frommannholzboog, Stuttgart, 1994.
[3]
Th. Bäck: Evolutionary Algorithms in Theory and Practice, Oxford University Press, NY, 1996.
[4]
Th. Bäck, D.B. Fogel, Z. Michalewicz (Hrsg.): Handbook of Evolutionary Computation, Vols. 1, 2, Institute of Physics Publishing, 2000.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
GECCO '13 Companion: Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
July 2013
1798 pages
ISBN:9781450319645
DOI:10.1145/2464576
  • Editor:
  • Christian Blum,
  • General Chair:
  • Enrique Alba
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 July 2013

Check for updates

Author Tag

  1. evolution strategies

Qualifiers

  • Introduction

Conference

GECCO '13
Sponsor:
GECCO '13: Genetic and Evolutionary Computation Conference
July 6 - 10, 2013
Amsterdam, The Netherlands

Acceptance Rates

Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 178
    Total Downloads
  • Downloads (Last 12 months)11
  • Downloads (Last 6 weeks)3
Reflects downloads up to 17 Jan 2025

Other Metrics

Citations

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media