Overview
- Comprehensive study of both theoretical and algorithmic analysis of swarm intelligence techniques.
- Provides real-world applications of SI techniques
- Written by leading experts in this field
Part of the book series: Adaptation, Learning, and Optimization (ALO, volume 8)
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Table of contents (23 chapters)
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Front Matter
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Part A: Particle Swarm Optimization
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Front Matter
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Part C: Ant Colony Optimization
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Front Matter
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Keywords
About this book
From nature, we observe swarming behavior in the form of ant colonies, bird flocking, animal herding, honey bees, swarming of bacteria, and many more. It is only in recent years that researchers have taken notice of such natural swarming systems as culmination of some form of innate collective intelligence, albeit swarm intelligence (SI) - a metaphor that inspires a myriad of computational problem-solving techniques. In computational intelligence, swarm-like algorithms have been successfully applied to solve many real-world problems in engineering and sciences. This handbook volume serves as a useful foundational as well as consolidatory state-of-art collection of articles in the field from various researchers around the globe. It has a rich collection of contributions pertaining to the theoretical and empirical study of single and multi-objective variants of swarm intelligence based algorithms like particle swarm optimization (PSO), ant colony optimization (ACO), bacterial foraging optimization algorithm (BFOA), honey bee social foraging algorithms, and harmony search (HS). With chapters describing various applications of SI techniques in real-world engineering problems, this handbook can be a valuable resource for researchers and practitioners, giving an in-depth flavor of what SI is capable of achieving.
Editors and Affiliations
Bibliographic Information
Book Title: Handbook of Swarm Intelligence
Book Subtitle: Concepts, Principles and Applications
Editors: Bijaya Ketan Panigrahi, Yuhui Shi, Meng-Hiot Lim
Series Title: Adaptation, Learning, and Optimization
DOI: https://doi.org/10.1007/978-3-642-17390-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-17389-9Published: 19 January 2011
Softcover ISBN: 978-3-642-26689-8Published: 27 February 2013
eBook ISBN: 978-3-642-17390-5Published: 04 February 2011
Series ISSN: 1867-4534
Series E-ISSN: 1867-4542
Edition Number: 1
Number of Pages: XII, 544