Nature-Inspired Optimizers Theories, Literature Reviews and Applicat
This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical mod
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Seyedali Mirjalili Jin Song Dong Andrew Lewis Editors
NatureInspired Optimizers Theories, Literature Reviews and Applications
Studies in Computational Intelligence Volume 811
Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected]
The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output. The books of this series are submitted to indexing to Web of Science, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink.
More information about this series at http://www.springer.com/series/7092
Seyedali Mirjalili Jin Song Dong Andrew Lewis •
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Editors
Nature-Inspired Optimizers Theories, Literature Reviews and Applications
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Editors Seyedali Mirjalili Institute for Integrated and Intelligent Systems Griffith University Brisbane, QLD, Australia Andrew Lewis Institute for Integrated and Intelligent Systems Griffith University Brisbane, QLD, Australia
Jin Song Dong Institute for Integrated and Intelligent Systems Griffith University Brisbane, QLD, Australia Department of Computer Science School of Computing National University of Singapore Singapore, Singapore
ISSN 1860-949X ISSN 1860-9503 (electronic) Studies in Computational Intelligence ISBN 978-3-030-12126-6 ISBN 978-3-030-12127-3 (eBook) https://doi.org/10.1007/978-3-030-12127-3 Library of Congress Control Number: 2018968101 © Springer Nature Switzerland AG 2020 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 sa
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