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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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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