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Hybrid Metaheuristics
Powerful Tools for Optimization
Buch von Günther R. Raidl (u. a.)
Sprache: Englisch

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Beschreibung
This book explains the most prominent and some promising new, general techniques that combine metaheuristics with other optimization methods. A first introductory chapter reviews the basic principles of local search, prominent metaheuristics, and tree search, dynamic programming, mixed integer linear programming, and constraint programming for combinatorial optimization purposes. The chapters that follow present five generally applicable hybridization strategies, with exemplary case studies on selected problems: incomplete solution representations and decoders; problem instance reduction; large neighborhood search; parallel non-independent construction of solutions within metaheuristics; and hybridization based on complete solution archives.

The authors are among the leading researchers in the hybridization of metaheuristics with other techniques for optimization, and their work reflects the broad shift to problem-oriented rather than algorithm-oriented approaches, enabling faster and more effective implementation in real-life applications. This hybridization is not restricted to different variants of metaheuristics but includes, for example, the combination of mathematical programming, dynamic programming, or constraint programming with metaheuristics, reflecting cross-fertilization in fields such as optimization, algorithmics, mathematical modeling, operations research, statistics, and simulation. The book is a valuable introduction and reference for researchers and graduate students in these domains.
This book explains the most prominent and some promising new, general techniques that combine metaheuristics with other optimization methods. A first introductory chapter reviews the basic principles of local search, prominent metaheuristics, and tree search, dynamic programming, mixed integer linear programming, and constraint programming for combinatorial optimization purposes. The chapters that follow present five generally applicable hybridization strategies, with exemplary case studies on selected problems: incomplete solution representations and decoders; problem instance reduction; large neighborhood search; parallel non-independent construction of solutions within metaheuristics; and hybridization based on complete solution archives.

The authors are among the leading researchers in the hybridization of metaheuristics with other techniques for optimization, and their work reflects the broad shift to problem-oriented rather than algorithm-oriented approaches, enabling faster and more effective implementation in real-life applications. This hybridization is not restricted to different variants of metaheuristics but includes, for example, the combination of mathematical programming, dynamic programming, or constraint programming with metaheuristics, reflecting cross-fertilization in fields such as optimization, algorithmics, mathematical modeling, operations research, statistics, and simulation. The book is a valuable introduction and reference for researchers and graduate students in these domains.
Inhaltsverzeichnis

Introduction.- Incomplete Solution Representations and Decoders.- Hybridization Based on Problem Instance Reduction.- Hybridization Based on Large Neighborhood Search.- Making Use of a Parallel, Non-independent, Construction of Solutions Within Metaheuristics.- Hybridization Based on Complete Solution Archives.- Further Hybrids and Conclusions.

Details
Erscheinungsjahr: 2016
Fachbereich: Anwendungs-Software
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 176
Reihe: Artificial Intelligence: Foundations, Theory, and Algorithms
Inhalt: xvi
157 S.
11 s/w Illustr.
9 farbige Illustr.
157 p. 20 illus.
9 illus. in color.
ISBN-13: 9783319308821
ISBN-10: 3319308823
Sprache: Englisch
Herstellernummer: 978-3-319-30882-1
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Raidl, Günther R.
Blum, Christian
Auflage: 1st ed. 2016
Hersteller: Springer International Publishing
Artificial Intelligence: Foundations, Theory, and Algorithms
Maße: 241 x 160 x 16 mm
Von/Mit: Günther R. Raidl (u. a.)
Erscheinungsdatum: 31.05.2016
Gewicht: 0,436 kg
preigu-id: 103979139
Inhaltsverzeichnis

Introduction.- Incomplete Solution Representations and Decoders.- Hybridization Based on Problem Instance Reduction.- Hybridization Based on Large Neighborhood Search.- Making Use of a Parallel, Non-independent, Construction of Solutions Within Metaheuristics.- Hybridization Based on Complete Solution Archives.- Further Hybrids and Conclusions.

Details
Erscheinungsjahr: 2016
Fachbereich: Anwendungs-Software
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 176
Reihe: Artificial Intelligence: Foundations, Theory, and Algorithms
Inhalt: xvi
157 S.
11 s/w Illustr.
9 farbige Illustr.
157 p. 20 illus.
9 illus. in color.
ISBN-13: 9783319308821
ISBN-10: 3319308823
Sprache: Englisch
Herstellernummer: 978-3-319-30882-1
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Raidl, Günther R.
Blum, Christian
Auflage: 1st ed. 2016
Hersteller: Springer International Publishing
Artificial Intelligence: Foundations, Theory, and Algorithms
Maße: 241 x 160 x 16 mm
Von/Mit: Günther R. Raidl (u. a.)
Erscheinungsdatum: 31.05.2016
Gewicht: 0,436 kg
preigu-id: 103979139
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