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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Price, K., Storn, R.: Differential evolution homepage (2001) (Cited September 10, 2008), http://www.ICSI.Berkeley.edu/ ~storn/code.html
Price, K., Storn, R., Lampinen, J.: Differential Evolution. Springer, Heidelberg (2005)
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
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
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
Download citation
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
eBook Packages: EngineeringEngineering (R0)