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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2003: Knowledge-Based Intelligent Information and Engineering Systems pp 19–20Cite as

The Evolution of Evolutionary Computation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2773))

Abstract

Evolutionary computation has enjoyed a tremendous growth for at least a decade in both its theoretical foundations and industrial applications. Its scope has gone far beyond binary string optimisation using a simple genetic algorithm. Many research topics in evolutionary computation nowadays are not necessarily ”genetic” or ”evolutionary” in any biological sense. This talk will describe some recent research efforts in addressing several fundamental as well as more applied issues in evolutionary computation. Links with traditional computer science and artificial intelligence will be explored whenever appropriate.

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References

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Author information

Authors and Affiliations

  1. School of Computer Science, The University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK

    Xin Yao

Authors
  1. Xin Yao
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, United Kingdom

    Vasile Palade

  2. Intelligent Systems and Signal Processing Labs, Moulsecoomb, University of Brighton, BN2 4GJ, Brighton, United Kingdom

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, Mawson Lakes, University of South Australia, 5095, Adelaide, SA, Australia

    Lakhmi Jain

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© 2003 Springer-Verlag Berlin Heidelberg

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Yao, X. (2003). The Evolution of Evolutionary Computation. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_6

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  • DOI: https://doi.org/10.1007/978-3-540-45224-9_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40803-1

  • Online ISBN: 978-3-540-45224-9

  • eBook Packages: Springer Book Archive

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