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.
Author(s): Godfrey Onwubolu, Donald Davendra (auth.), Prof. Godfrey C. Onwubolu, Donald Davendra (eds.)
Series: Studies in Computational Intelligence 175
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009
Language: English
Pages: 214
City: New York
Tags: Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics); Applications of Mathematics
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
