Advances in Metaheuristic Algorithms for Optimal Design of Structures
Author:   A. Kaveh
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2014
ISBN:  

9783319350622


Pages:   426
Publication Date:   23 August 2016
Format:   Paperback
Availability:   In Print   Availability explained
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Advances in Metaheuristic Algorithms for Optimal Design of Structures


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Author:   A. Kaveh
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2014
Dimensions:   Width: 15.50cm , Height: 2.30cm , Length: 23.50cm
Weight:   6.613kg
ISBN:  

9783319350622


ISBN 10:   3319350625
Pages:   426
Publication Date:   23 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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It contains a large amount of precisely selected topics covering various aspects and design techniques related to efficient metaheuristic algorithms for optimal design of structures. It provides an in-depth overview of the main methods used in the field. ... Besides being very useful to those who are interested in optimal design of structures and applying various metaheuristics to solve underlying optimization problems, involved reader can also benefit from the easy way it presents various ideas and approaches to problem solutions. (Vladimir Lacko, zbMATH 1333.90002, 2016)


“It contains a large amount of precisely selected topics covering various aspects and design techniques related to efficient metaheuristic algorithms for optimal design of structures. It provides an in-depth overview of the main methods used in the field. … Besides being very useful to those who are interested in optimal design of structures and applying various metaheuristics to solve underlying optimization problems, involved reader can also benefit from the easy way it presents various ideas and approaches to problem solutions.” (Vladimír Lacko, zbMATH 1333.90002, 2016)


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