Overview
Provides easy to understand information on the novel and efficient metaheuristics developed by the authors
Useful for transformation of the algorithms from theory to practice for global optimization problems
Includes Matlab codes and benckmark structural optimization problems and their solutions
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Table of contents (15 chapters)
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Front Matter
Keywords
About this book
The book presents eight well-known and often used algorithms besides nine newly developed algorithms by the first author and his students in a practical implementation framework.
Matlab codes and some benchmark structural optimization problems are provided. The aim is to provide an efficient context for experienced researchers or readers not familiar with theory, applications and computational developments of the considered metaheuristics.
The information will also be of interest to readers interested in application of metaheuristics for hard optimization, comparing conceptually different metaheuristics and designing new metaheuristics.
Authors and Affiliations
Bibliographic Information
Book Title: Metaheuristics: Outlines, MATLAB Codes and Examples
Authors: Ali Kaveh, Taha Bakhshpoori
DOI: https://doi.org/10.1007/978-3-030-04067-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-04066-6Published: 08 April 2019
eBook ISBN: 978-3-030-04067-3Published: 29 March 2019
Edition Number: 1
Number of Pages: XII, 190
Number of Illustrations: 4 b/w illustrations, 112 illustrations in colour
Topics: Mathematical and Computational Engineering, Optimization, Mechanical Engineering, Solid Construction