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Handbook of heuristics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Handbook of heuristicsedited by Rafael Martí, Panos M. Pardalos, Mauricio G.C. Resende.
other author:	Martí, Rafael.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xxv, 1892 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eReference
Subject:	Heuristic algorithmsHandbooks, manuals, etc.
Online resource:	https://doi.org/10.1007/978-3-032-00385-0
ISBN:	9783032003850$q(electronic bk.)

Handbook of heuristics
Handbook of heuristics[electronic resource] /edited by Rafael Martí, Panos M. Pardalos, Mauricio G.C. Resende. - Second edition. - Cham :Springer Nature Switzerland :2025. - xxv, 1892 p. :ill. (some col.), digital ;24 cm.

Adaptive and Multi-Level Metaheuristics -- Biased Random-Key Genetic Programming -- Data Mining in Heuristics -- Deep Learning in Search Heuristics -- Evolution Strategies -- Evolutionary Algorithms -- Innovative Applications of Metaheuristics to Supervised Machine Learning -- Matheuristics by Examples -- Multi-start Methods -- Multiobjective Optimization -- Quantum-Inspired Heuristics -- Restart Strategies -- Simheuristics -- The Hybrid Metaheuristic CMSA -- Constraint-Based Local Search -- Guided Local Search -- Theory of Local Search.

The handbook of heuristics consists of five main parts: search strategies, local search, metaheuristics, analysis and implementations, and applications. They cover from search methods and methodological aspects, such as matheuristics, the exciting field in which mathematical programming is combined with heuristics, to applications that provide the practitioner with a description of some relevant optimization issues in a number of specific application areas, such as scheduling, vehicle routing, or network optimization. The first edition of the Handbook of Heuristics was published in 2018 and contained 47 chapters. In this second edition, the authors revised 30 of them to include new developments in the area that appeared in the last few years. In particular, the reader may find 14 chapters in search strategies, including a new chapter on deep learning, 4 in local search, 14 in metaheuristics, 5 in analysis and implementations, and 24 in applications. The inclusion of 14 new chapters makes this second edition even more comprehensive, totaling 61 chapters.

ISBN: 9783032003850$q(electronic bk.)

Standard No.: 10.1007/978-3-032-00385-0doiSubjects--Topical Terms:

822407
Heuristic algorithms
--Handbooks, manuals, etc.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 518.1

Handbook of heuristics
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250 $a Second edition.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xxv, 1892 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Adaptive and Multi-Level Metaheuristics -- Biased Random-Key Genetic Programming -- Data Mining in Heuristics -- Deep Learning in Search Heuristics -- Evolution Strategies -- Evolutionary Algorithms -- Innovative Applications of Metaheuristics to Supervised Machine Learning -- Matheuristics by Examples -- Multi-start Methods -- Multiobjective Optimization -- Quantum-Inspired Heuristics -- Restart Strategies -- Simheuristics -- The Hybrid Metaheuristic CMSA -- Constraint-Based Local Search -- Guided Local Search -- Theory of Local Search.
520 $a The handbook of heuristics consists of five main parts: search strategies, local search, metaheuristics, analysis and implementations, and applications. They cover from search methods and methodological aspects, such as matheuristics, the exciting field in which mathematical programming is combined with heuristics, to applications that provide the practitioner with a description of some relevant optimization issues in a number of specific application areas, such as scheduling, vehicle routing, or network optimization. The first edition of the Handbook of Heuristics was published in 2018 and contained 47 chapters. In this second edition, the authors revised 30 of them to include new developments in the area that appeared in the last few years. In particular, the reader may find 14 chapters in search strategies, including a new chapter on deep learning, 4 in local search, 14 in metaheuristics, 5 in analysis and implementations, and 24 in applications. The inclusion of 14 new chapters makes this second edition even more comprehensive, totaling 61 chapters.
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650 0 $a Algorithms $3 253943
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650 2 4 $a Optimization. $3 274084
650 2 4 $a Analysis. $3 273775
650 2 4 $a Mathematical and Computational Engineering Applications. $3 915034
650 2 4 $a Mathematical Applications in Computer Science. $3 530811
650 2 4 $a Mathematical Software. $3 279828
700 1 $a Martí, Rafael. $3 1005978
700 1 $a Pardalos, P. M. $3 914933
700 1 $a Resende, Mauricio G.C. $3 761560
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