A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature
This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstrated the various self-defense mechanisms (survival strategies) plants use to protect themselves against p
- PDF / 1,997,492 Bytes
- 62 Pages / 439.371 x 666.143 pts Page_size
- 101 Downloads / 164 Views
Camilo Caraveo Fevrier Valdez Oscar Castillo
A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature
SpringerBriefs in Applied Sciences and Technology Computational Intelligence
Series editor Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
SpringerBriefs in Computational Intelligence are a series of slim high-quality publications encompassing the entire spectrum of Computational Intelligence. Featuring compact volumes of 50–125 pages (approximately 20,000–45,000 words), Briefs are shorter than a conventional book but longer than a journal article. Thus Briefs serve as timely, concise tools for students, researchers, and professionals.
More information about this series at http://www.springer.com/series/10618
Camilo Caraveo Fevrier Valdez Oscar Castillo •
A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature
123
Camilo Caraveo Division of Graduate Studies Tijuana Institute of Technology Tijuana, Baja California, Mexico
Oscar Castillo Division of Graduate Studies Tijuana Institute of Technology Tijuana, Baja California, Mexico
Fevrier Valdez Division of Graduate Studies Tijuana Institute of Technology Tijuana, Baja California, Mexico
ISSN 2191-530X ISSN 2191-5318 (electronic) SpringerBriefs in Applied Sciences and Technology ISSN 2625-3704 ISSN 2625-3712 (electronic) SpringerBriefs in Computational Intelligence ISBN 978-3-030-05550-9 ISBN 978-3-030-05551-6 (eBook) https://doi.org/10.1007/978-3-030-05551-6 Library of Congress Control Number: 2018964225 © The Author(s), under exclusive license to 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 Ch
Data Loading...
