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Matheuristicsalgorithms and implemen...

Boschetti, Marco Antonio.

Matheuristicsalgorithms and implementations /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Matheuristicsby Vittorio Maniezzo, Marco Antonio Boschetti, Thomas Stutzle.
Reminder of title:	algorithms and implementations /
Author:	Maniezzo, Vittorio.
other author:	Boschetti, Marco Antonio.
Published:	Cham :Springer International Publishing :2021.
Description:	xviii, 214 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Heuristic algorithms.
Online resource:	https://doi.org/10.1007/978-3-030-70277-9
ISBN:	9783030702779$q(electronic bk.)

Matheuristicsalgorithms and implementations /
Maniezzo, Vittorio.

Matheuristicsalgorithms and implementations /[electronic resource] :by Vittorio Maniezzo, Marco Antonio Boschetti, Thomas Stutzle. - Cham :Springer International Publishing :2021. - xviii, 214 p. :ill., digital ;24 cm. - EURO advanced tutorials on operational research,2364-687X. - EURO advanced tutorials on operational research..

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.

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.

ISBN: 9783030702779$q(electronic bk.)

Standard No.: 10.1007/978-3-030-70277-9doiSubjects--Topical Terms:

455932
Heuristic algorithms.

LC Class. No.: QA76.9.A43 / M365 2021

Dewey Class. No.: 005.1

Matheuristicsalgorithms and implementations /
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100 1 $a Maniezzo, Vittorio. $3 308800
245 1 0 $a Matheuristics $h [electronic resource] : $b algorithms and implementations / $c by Vittorio Maniezzo, Marco Antonio Boschetti, Thomas Stutzle.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xviii, 214 p. : $b ill., digital ; $c 24 cm.
490 1 $a EURO advanced tutorials on operational research, $x 2364-687X
505 0 $a 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.
520 $a 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.
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650 2 4 $a Algorithms. $3 184661
650 2 4 $a Mathematical Applications in Computer Science. $3 530811
650 2 4 $a Optimization. $3 274084
700 1 $a Boschetti, Marco Antonio. $3 890897
700 1 $a Stutzle, Thomas. $3 238876
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