Socio-cultural Inspired Metaheuristics
This book presents the latest insights and developments in the field of socio-cultural inspired algorithms. Akin to evolutionary and swarm-based optimization algorithms, socio-cultural algorithms belong to the category of metaheuristics (problem-independe
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Anand J. Kulkarni Pramod Kumar Singh Suresh Chandra Satapathy Ali Husseinzadeh Kashan Kang Tai Editors
Socio-cultural Inspired Metaheuristics
Studies in Computational Intelligence Volume 828
Series Editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
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
Anand J. Kulkarni Pramod Kumar Singh Suresh Chandra Satapathy Ali Husseinzadeh Kashan Kang Tai •
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Editors Anand J. Kulkarni Department of Mechanical Engineering Symbiosis Institute of Technology Symbiosis International (Deemed University) Pune, Maharashtra, India Odette School of Business University of Windsor Windsor, Canada
Pramod Kumar Singh ABV-Indian Institute of Information Technology and Management Gwalior Gwalior, Madhya Pradesh, India Ali Husseinzadeh Kashan Faculty of Industrial and Systems Engineering Tarbiat Modares University Tehran, Iran
Suresh Chandra Satapathy School of Computer Engineering Kalinga Institute of Industrial Technology (KIIT), Deemed to be University Bhubaneswar, Odisha, India Kang Tai School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore, Singapore
ISSN 1860-949X ISSN 1860-9503 (electronic) Studies in Computational Intelligence ISBN 978-981-13-6568-3 ISBN 978-981-13-6569-0 (eBook) https://doi.org/10.1007/978-981-13-6569-0 Library of Congress Control Number: 2019931506 © Springer Nature Singapore Pte Ltd. 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 descript
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