Authors:
- Presents advances in new, alternative swarm developments
- Demonstrates the potential of new swarm alternative algorithms from a practical perspective
- Discusses various novel metaheuristic methods and their practical applications
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 160)
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Table of contents (10 chapters)
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Front Matter
About this book
This book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities, such as animals and insects, manifesting social behavior has resulted in several computational models of swarm intelligence. While there are numerous books addressing the most widely known swarm methods, namely ant colony algorithms and particle swarm optimization, those discussing new alternative approaches are rare. The focus on developments based on the simple modification of popular swarm methods overlooks the opportunity to discover new techniques and procedures that can be useful in solving problems formulated by the academic and industrial communities. Presenting various novel swarm methods and their practical applications, the book helps researchers, lecturers, engineersand practitioners solve their own optimization problems.
Authors and Affiliations
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CUCEI, Universidad de Guadalajara, Guadalajara, Mexico
Erik Cuevas, Fernando Fausto, Adrián González
Bibliographic Information
Book Title: New Advancements in Swarm Algorithms: Operators and Applications
Authors: Erik Cuevas, Fernando Fausto, Adrián González
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-030-16339-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-16338-9Published: 12 April 2019
eBook ISBN: 978-3-030-16339-6Published: 02 April 2019
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XV, 296