Matheuristics: Algorithms and Implementations

This book is the first comprehensive tutorial on matheuristics, combining mathematical extensions of known heuristics and original, area-specific approaches. It includes pseudocodes of over 40 algorithms, literature references, and sample runs on a common Generalized Assignment Problem example. C++ source codes of all algorithms are available in an associated SW repository.

Format: Paperback / softback
Length: 214 pages
Publication date: 30 April 2022
Publisher: Springer Nature Switzerland AG

This comprehensive tutorial delves into the realm of matheuristics, a field that builds upon mathematical foundations to enhance and refine previously established heuristics, particularly metaheuristics, and employ unique, domain-specific approaches. It offers a thorough exploration of these contributions, presenting pseudocodes for over 40 algorithms, extensive literature references, and step-by-step descriptions of sample runs on a widely used Generalized Assignment Problem example. Additionally, the accompanying software repository provides C++ source codes for all the algorithms, facilitating further exploration and implementation. By providing a comprehensive and accessible guide, this tutorial serves as a valuable resource for those seeking to advance their understanding and application of matheuristics in solving complex optimization problems.
Matheuristics, as a branch of optimization, draws upon mathematical extensions of established heuristics, particularly metaheuristics, and employs innovative, domain-specific strategies. This comprehensive tutorial offers a detailed examination of these contributions, presenting pseudocodes for over 40 algorithms, comprehensive literature references, and step-by-step descriptions of sample runs on a widely utilized Generalized Assignment Problem example. Furthermore, the accompanying software repository makes available C++ source codes for all the algorithms, enabling further exploration and implementation. By providing a thorough and accessible guide, this tutorial serves as a valuable resource for individuals seeking to advance their understanding and application of matheuristics in solving complex optimization challenges.

Weight: 361g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030702793
Edition number: 1st ed. 2021