Metaheuristics: Outlines, MATLAB Codes and Examples
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 provide
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taheuristics: Outlines, MATLAB Codes and Examples
Metaheuristics: Outlines, MATLAB Codes and Examples
Ali Kaveh • Taha Bakhshpoori
Metaheuristics: Outlines, MATLAB Codes and Examples
Ali Kaveh School of Civil Engineering Iran University of Science and Technology Narmak, Tehran, Iran
Taha Bakhshpoori Faculty of Technology and Engineering Department of Civil Engineering University of Guilan, East of Guilan Rudsar, Vajargah, Iran
ISBN 978-3-030-04066-6 ISBN 978-3-030-04067-3 https://doi.org/10.1007/978-3-030-04067-3
(eBook)
Library of Congress Control Number: 2018962367 © Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
Optimization problems arise in various disciplines like engineering, economics, and sciences. In view of the practical utility of these problems, there is a need for efficient and robust solvers. Metaheuristic algorithms as probabilistic solvers are developed and considered as the primary choice instead of deterministic approaches. A brief review of the metaheuristic-based optimization literature is clear proof to this fact: metaheuristics are evolving faster and faster. The dual nature (random based and rule based) of these algorithms makes them efficient to tackle hard optimization problems in a reasonable time with acceptable accuracy, however, this property makes their characterization very difficult. Many books have been published in this area on theory (from theoretical properties to performance guarantees), computational developments (from empirical analyses to extending the available varieties), and applications (tackling ever more challenging problems in various disciplines). Many of them are overviews of the most widely mat
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