This book is 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. Suitable as a resource for both professionals and students, this book presents in detail the various permutative-based combinatorial DE formulations by their initiators, through extensive illustrations and computer code.
Supplemental Mathematica source programs can be downloaded from the publisher's website. Contents
Motivation for Differential Evolution for Permutative-Based Combinatorial Problems | Differential Evolution for Permutation-Based Combinatorial Problems | Forward Backward Transformation | Relative Position Indexing Approach | Smallest Position Value Approach | Discrete/Binary Approach | Discrete Set Handling Related Topics
Applied Mathematics, Discrete Mathematics