Nature-Inspired Methods for Metaheuristics Optimization: Algorithms and Applications in Science and Engineering: 16 (Modeling and Optimization in Science and Technologies) - Tapa dura

9783030264574: Nature-Inspired Methods for Metaheuristics Optimization: Algorithms and Applications in Science and Engineering: 16 (Modeling and Optimization in Science and Technologies)

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ISBN 10: 3030264572 ISBN 13: 9783030264574

Editorial: Springer-Verlag GmbH, 2020

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EditorialSpringer-Verlag GmbH
A�o de publicaci�n2020
ISBN 10 3030264572
ISBN 13 9783030264574
Encuadernaci�nTapa dura
IdiomaIngl�s
N�mero de edici�n1
N�mero de p�ginas516
EditorBhattacharjya Rajib Kumar, Bennis Fouad

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9783030264604: Nature-Inspired Methods for Metaheuristics Optimization: Algorithms and Applications in Science and Engineering: 16 (Modeling and Optimization in Science and Technologies)

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Nature-Inspired Methods for Metaheuristics Optimization

Rajib Kumar Bhattacharjya

Publicado por Springer International Publishing Jan 2020, 2020

ISBN 10: 3030264572 ISBN 13: 9783030264574

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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

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Buch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers. 516 pp. Englisch. N� de ref. del art�culo: 9783030264574

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Nature-Inspired Methods for Metaheuristics Optimization (Hardcover)

Fouad Bennis

Publicado por Springer Nature Switzerland AG, Cham, 2020

ISBN 10: 3030264572 ISBN 13: 9783030264574

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Librería: Grand Eagle Retail, Fairfield, OH, Estados Unidos de America

Calificaci�n del vendedor: 5 de 5 estrellas

Hardcover. Condici�n: new. Hardcover. This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers. This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de ref. del art�culo: 9783030264574

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Nature-Inspired Methods for Metaheuristics Optimization

Bennis, Fouad|Bhattacharjya, Rajib Kumar

Publicado por Springer International Publishing, 2020

ISBN 10: 3030264572 ISBN 13: 9783030264574

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Librería: moluna, Greven, Alemania

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Gebunden. Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on algorithms that are highly efficient in solving non-linear non-convex problemsGives practical insights into the implementation of meta-heuristic optimization algorithmsReports on applications to various real-world problems. N� de ref. del art�culo: 458538748

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Nature-Inspired Methods for Metaheuristics Optimization : Algorithms and Applications in Science and Engineering

Rajib Kumar Bhattacharjya

Publicado por Springer International Publishing, 2020

ISBN 10: 3030264572 ISBN 13: 9783030264574

Nuevo Tapa dura

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Buch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers. N� de ref. del art�culo: 9783030264574

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