Advances in Metaheuristic Algorithms for Optimal Design of Structures

A. Kaveh

ISBN 10: 3319350625 / ISBN 13: 9783319350622

Published by Springer International Publishing, 2016

About this Item

Advances in Metaheuristic Algorithms for Optimal Design of Structures | A. Kaveh | Taschenbuch | xii | Englisch | 2016 | Springer International Publishing | EAN 9783319350622 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 103435724

Bibliographic Details

• Title: Advances in Metaheuristic Algorithms for Optimal Design of Structures
• Publisher: Springer International Publishing
• Publication Date: 2016
• Language: English
• ISBN 10: 3319350625
• ISBN 13: 9783319350622
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 24D millimeters 235 millimeters width by 155 millimeters height by 24 millimeters depth
• Weight: 663 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his colleagues, consisting of Democratic Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization. These are presented together with algorithms which were developed by other authors and have been successfully applied to various optimization problems. These consist of Particle Swarm Optimization, Big Bang-Big Crunch Algorithm, Cuckoo Search Optimization, Imperialist Competitive Algorithm, and Chaos Embedded Metaheuristic Algorithms. Finally a multi-objective optimization method is presented to solve large-scale structural problems based on the Charged System Search algorithm.

The concepts and algorithms presented in this book are not only applicable to optimization of skeletal structures and finiteelement models, but can equally be utilized for optimal design of other systems such as hydraulic and electrical networks.