Advances in Metaheuristic Algorithms for Optimal Design of Structures (Paperback, Softcover reprint of the original 1st ed. 2014)

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 finite element models, but can equally be utilized for optimal design of other systems such as hydraulic and electrical networks.  

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	August 2016
First published:	2014
Authors:	A. Kaveh
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Paperback
Pages:	426
Edition:	Softcover reprint of the original 1st ed. 2014
ISBN-13:	978-3-319-35062-2
Categories:	Books > Computing & IT > General Books > Professional & Technical > Technology: general issues > General Books > Science & Mathematics > Mathematics > Optimization > General Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > General
LSN:	3-319-35062-5
Barcode:	9783319350622

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