Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization [electronic resource] / edited by Godfrey C. Onwubolu, Donald Davendra.
Tipo de material: TextoSeries Studies in Computational Intelligence ; 175 | Studies in Computational Intelligence ; 175Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009Descripción: online resourceTipo de contenido:- text
- computer
- online resource
- 9783540921516
- SpringerLink (Online service)
- 519 23
- TA329-348
- TA640-643
Motivation for Differential Evolution for PermutativeBased Combinatorial Problems -- Differential Evolution for PermutationBased Combinatorial Problems -- Forward Backward Transformation -- Relative Position Indexing Approach -- Smallest Position Value Approach -- Discrete/Binary Approach -- Discrete Set Handling.
This is the first book devoted entirely to Differential Evolution (DE) for global permutative-based combinatorial optimization. Since its original development, DE has mainly been applied to solving problems characterized by continuous parameters. This means that only a subset of real-world problems could be solved by the original, classical DE algorithm. This book presents in detail the various permutative-based combinatorial DE formulations by their initiators in an easy-to-follow manner, through extensive illustrations and computer code. It is a valuable resource for professionals and students interested in DE in order to have full potentials of DE at their disposal as a proven optimizer. All source programs in C and Mathematica programming languages are downloadable from the website of Springer.
ZDB-2-ENG
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