Colliding Bodies Optimization - Extensions and Applications (Paperback, Softcover reprint of the original 1st ed. 2015)

This book presents and applies a novel efficient meta-heuristic optimization algorithm called Colliding Bodies Optimization (CBO) for various optimization problems. The first part of the book introduces the concepts and methods involved, while the second is devoted to the applications. Though optimal design of structures is the main topic, two chapters on optimal analysis and applications in constructional management are also included. This algorithm is based on one-dimensional collisions between bodies, with each agent solution being considered as an object or body with mass. After a collision of two moving bodies with specified masses and velocities, these bodies again separate, with new velocities. This collision causes the agents to move toward better positions in the search space. The main algorithm (CBO) is internally parameter independent, setting it apart from previously developed meta-heuristics. This algorithm is enhanced (ECBO) for more efficient applications in the optimal design of structures. The algorithms are implemented in standard computer programming languages (MATLAB and C++) and two main codes are provided for ease of use.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	October 2016
First published:	2015
Authors:	A. Kaveh • V R Mahdavi
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Paperback
Pages:	284
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-3-319-38709-3
Categories:	Books > Science & Mathematics > Mathematics > Optimization > General Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > General Books > Professional & Technical > Mechanical engineering & materials > Materials science > General Books > Professional & Technical > Civil engineering, surveying & building > Structural engineering > General Promotions
LSN:	3-319-38709-X
Barcode:	9783319387093

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