[go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Natural Computation

  • Conference paper
  • First Online:
Simulated Evolution and Learning (SEAL 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1585))

Included in the following conference series:

  • 984 Accesses

Abstract

The idea of mimicking processes of organic evolution on computers and using such algorithms for solving adaptation and optimization tasks can be traced back to the Sixties. Genetic Algorithms (GA), Evolutionary Programming (EP), and Evolution Strategies (ES), the still vivid different strata of this idea, have not only survived until now, but have become an important tool within what has been called Computational Intelligence, Soft Computing, as well as Natural Computation. An outline of Evolutionary Algorithms (EA - the common denominator for GA, EP, and ES) will be sketched, their differences pinpointed, some theoretical results summarized, and some applications mentioned.

Abstract only.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Similar content being viewed by others

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Dortmund, D-44221, Dortmund, Germany

    Hans-Paul Schwefel (Chair of Systems Analysis)

Authors
  1. Hans-Paul Schwefel
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Computer Science, University College, UNSW Australian Defence Force Academy, Canberra, ACT, Australia, 2600

    Bob McKay , Xin Yao  & Charles S. Newton ,  & 

  2. Department of Electrical Engineering Korea Advanced Institute of Science and Technology, 373-1, Kusung-dong, Yusung-gu, Taejon-shi, 305-701, Korea

    Jong-Hwan Kim

  3. Department of Information Electronics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8603, Japan

    Takeshi Furuhashi

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Schwefel, HP. (1999). Natural Computation. In: McKay, B., Yao, X., Newton, C.S., Kim, JH., Furuhashi, T. (eds) Simulated Evolution and Learning. SEAL 1998. Lecture Notes in Computer Science(), vol 1585. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48873-1_1

Download citation

  • DOI: https://doi.org/10.1007/3-540-48873-1_1

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65907-5

  • Online ISBN: 978-3-540-48873-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation