Advances in Metaheuristics for Hard Optimization

Name: Advances in Metaheuristics for Hard Optimization
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642092060
Price: 59405 HUF
Availability: InStock

Szerző: Zbigniew Michalewicz, Patrick Siarry

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Elérhetőség: Beszállítói készleten

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Many advances have recently been made in metaheuristic methods, from theory to applications. The edi...

Információk a könyvről

Szerző

Zbigniew Michalewicz, Patrick Siarry

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2010

oldal

481

EAN

9783642092060

ISBN

3642092063

Enbook ID

01654132

Kiadó

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Súly

759

Méretek

155 x 235 x 25

Teljes leírás

Many advances have recently been made 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 metaheuristics.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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Advances in Metaheuristics for Hard Optimization

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