Differential evolution: A handbook for global permutation-based combinatorial optimization

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Edition: 1

Series: Studies in Computational Intelligence 175

ISBN: 3540921508, 9783540921509

Size: 3 MB (3341434 bytes)

Pages: 214/226

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Godfrey Onwubolu, Donald Davendra (auth.), Prof. Godfrey C. Onwubolu, Donald Davendra (eds.)3540921508, 9783540921509

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.


Table of contents :
Front Matter….Pages I-XVII
Motivation for Differential Evolution for Permutative—Based Combinatorial Problems….Pages 1-11
Differential Evolution for Permutation—Based Combinatorial Problems….Pages 13-34
Forward Backward Transformation….Pages 35-80
Relative Position Indexing Approach….Pages 81-120
Smallest Position Value Approach….Pages 121-138
Discrete/Binary Approach….Pages 139-162
Discrete Set Handling….Pages 163-205
Back Matter….Pages 207-213

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