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Full Description
This book is the first comprehensive tutorial on matheuristics. Matheuristics are based on mathematical extensions of previously known heuristics, mainly metaheuristics, and on original, area-specific approaches. This tutorial provides a detailed discussion of both contributions, presenting the pseudocodes of over 40 algorithms, abundant literature references, and for each case a step-by-step description of a sample run on a common Generalized Assignment Problem example. C++ source codes of all algorithms are available in an associated SW repository.
Contents
Part I: Contextual Issues.- 1. The Generalized Assignment Problem.- 2. Automatic Design for Matheuristics.- Part II: Metaheuristic Hybrids.- 3. Single Solution Metaheuristics.- 4. Population-Based metaheuristics.- Part III: Original Matheuristics.- 5. Diving Heuristics.- 6. Very Large-Scale Neighborhood Search.- 7. Decomposition Based Heuristics.- 8. Corridor Method.- 9. Kernel Search.- 10. Fore-and-Back.