ADVANCES IN METAHEURISTICS FOR HARD OPTIMIZATION (HB 2007). Dieser Artikel ist nicht verfügbar.
Sprache: Englisch
Verlag: SPRINGER, 2007
- Hardcover
- Neu
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Zustand: Neu
EUR 271,22
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Bestandsnummer des Verkäufers CBS 9783540729594
- Titel
- ADVANCES IN METAHEURISTICS FOR HARD OPTIMIZATION (HB 2007)
- Autor
- SIARRY P.
- Verlag
- SPRINGER
- Erscheinungsjahr
- 2007
- Zustand
- New
- Einband
- Hardcover
- Sprache
- Englisch
- ISBN-10
- 3540729593
- ISBN-13
- 9783540729594
- Auflage
- Internationale Ausgabe
- Serie
- Buch 7 von 32: Natural Computing
Many advances have been made recently in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general-purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and various metaheuristics.
The book gathers contributions related to the following topics: theoretical developments in metaheuristics; adaptation of discrete metaheuristics to continuous optimization; performance comparisons of metaheuristics; cooperative methods combining different approaches; parallel and distributed metaheuristics for multiobjective optimization; software implementations; and real-world applications.
This book is suitable for practitioners, researchers and graduate students in disciplines such as optimization, heuristics, operations research, and natural computing.
„Inhaltsangabe“ gehört möglicherweise zu einer anderen Auflage dieses Titels.
Von der hinteren Coverseite
Many advances have been made recently in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general-purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and various metaheuristics.
The book gathers contributions related to the following topics: theoretical developments in metaheuristics; adaptation of discrete metaheuristics to continuous optimization; performance comparisons of metaheuristics; cooperative methods combining different approaches; parallel and distributed metaheuristics for multiobjective optimization; software implementations; and real-world applications.
This book is suitable for practitioners, researchers and graduate students in disciplines such as optimization, heuristics, operations research, and natural computing.
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