Cohort Intelligence: A Socio-inspired Optimization Method
This Volume discusses the underlying principles and analysis of the different concepts associated with an emerging socio-inspired optimization tool referred to as Cohort Intelligence (CI). CI algorithms have been coded in Matlab and are freely available f
- PDF / 3,872,073 Bytes
- 140 Pages / 453.543 x 683.15 pts Page_size
- 115 Downloads / 241 Views
Anand Jayant Kulkarni Ganesh Krishnasamy Ajith Abraham
Cohort Intelligence: A Socio-inspired Optimization Method
Intelligent Systems Reference Library Volume 114
Series editors Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected] Lakhmi C. Jain, University of Canberra, Canberra, Australia; Bournemouth University, UK; KES International, UK e-mail: [email protected]; [email protected] URL: http://www.kesinternational.org/organisation.php
About this Series The aim of this series is to publish a Reference Library, including novel advances and developments in all aspects of Intelligent Systems in an easily accessible and well structured form. The series includes reference works, handbooks, compendia, textbooks, well-structured monographs, dictionaries, and encyclopedias. It contains well integrated knowledge and current information in the field of Intelligent Systems. The series covers the theory, applications, and design methods of Intelligent Systems. Virtually all disciplines such as engineering, computer science, avionics, business, e-commerce, environment, healthcare, physics and life science are included.
More information about this series at http://www.springer.com/series/8578
Anand Jayant Kulkarni Ganesh Krishnasamy Ajith Abraham •
Cohort Intelligence: A Socio-inspired Optimization Method
123
Anand Jayant Kulkarni Odette School of Business University of Windsor Windsor, ON Canada
Ganesh Krishnasamy Department of Electrical Engineering, Faculty of Engineering Universiti Malaya Kuala Lumpur Malaysia
and Department of Mechanical Engineering, Symbiosis Institute of Technology Symbiosis International University Pune, Maharashtra India
Ajith Abraham Machine Intelligence Research Labs (MIR Labs) Scientific Network for Innovation and Research Excellence Auburn, WA USA
ISSN 1868-4394 ISSN 1868-4408 (electronic) Intelligent Systems Reference Library ISBN 978-3-319-44253-2 ISBN 978-3-319-44254-9 (eBook) DOI 10.1007/978-3-319-44254-9 Library of Congress Control Number: 2016949596 © Springer International Publishing Switzerland 2017 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
Data Loading...
