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Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization pp 1–11Cite as

Motivation for Differential Evolution for Permutative—Based Combinatorial Problems

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Part of the Studies in Computational Intelligence book series (SCI,volume 175)

Abstract

It is generally accepted that Differential Evolution (DE) was originally designed to solve problems which are defined in continuous form. Some researchers have however, felt that this is a limiting factor on DE, hence there have been vigorous research work to extend the functionalities of DE to include permutative-based combinatorial problems. This chapter sets the scene for the book by discussing the motivation for presenting the foundational theories for a number of variants of DE for permutative-based combinatorial problems. These DE variants are presented by their initiators or proposers, to the best of our knowledge.

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  • DOI: 10.1007/978-3-540-92151-6_1
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References

  1. Price, K., Storn, R.: Differential evolution homepage (2001) (Cited September 10, 2008), http://www.ICSI.Berkeley.edu/ ~storn/code.html

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  2. Price, K., Storn, R., Lampinen, J.: Differential Evolution. Springer, Heidelberg (2005)

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  3. Storn, R., Price, K.: Differential evolution — a simple and efficient adaptive scheme for global optimization over continuous spaces, Technical Report TR-95-012, ICSI March 1999 (1995) (available via ftp), ftp.icsi.berkeley.edu/pub/techreports/1995/tr-95-012.ps.Z

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Author information

Authors and Affiliations

  1. Knowledge Management & Mining, Inc., Richmond Hill, Ontario, Canada

    Godfrey Onwubolu

  2. Faculty of Applied Informatics, Tomas Bata Univerzity in Zlin, Nad Stranemi 4511, Zlin, 76001, Czech Republic

    Donald Davendra

Authors
  1. Godfrey Onwubolu
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  2. Donald Davendra
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Editor information

Editors and Affiliations

  1. 22C Berwick Crescent, Richmond Hill, ON L4C 0B8, Canada

    Prof. Godfrey C. Onwubolu

  2. Department of Applied Informatics, Tomas Bata Univerzity in Zlin, Nad Stranemi 4511, Zlin, 76001, Czech Republic

    Donald Davendra

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Onwubolu, G., Davendra, D. (2009). Motivation for Differential Evolution for Permutative—Based Combinatorial Problems. In: Onwubolu, G.C., Davendra, D. (eds) Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization. Studies in Computational Intelligence, vol 175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92151-6_1

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  • DOI: https://doi.org/10.1007/978-3-540-92151-6_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92150-9

  • Online ISBN: 978-3-540-92151-6

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