Authors:
Reviews the state-of-the-art of firework algorithms (FWA) as a novel explosive search way for optimization
Offers the key operators and characteristics as well as theoretical analyses of convergence and time-complexity of FWA through stochastic Markov process
Presents exhaustively the key recent research into varieties of improving versions of FWA so far
Enriches understanding of FWA by incorporating FWA with GPU, MOO, and combinatorial optimization
Covers many different applications including NMF, document clustering, pattern recognition, inversion problem, and swarm robotics
Includes supplementary material: sn.pub/extras
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Table of contents (17 chapters)
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Front Matter
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Fundamentals and Basic Theory
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Front Matter
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Applications
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Front Matter
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About this book
Authors and Affiliations
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Peking University, Beijing, China
Ying Tan
Bibliographic Information
Book Title: Fireworks Algorithm
Book Subtitle: A Novel Swarm Intelligence Optimization Method
Authors: Ying Tan
DOI: https://doi.org/10.1007/978-3-662-46353-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2015
Hardcover ISBN: 978-3-662-46352-9Published: 20 October 2015
Softcover ISBN: 978-3-662-51618-8Published: 23 August 2016
eBook ISBN: 978-3-662-46353-6Published: 11 October 2015
Edition Number: 1
Number of Pages: XXXIX, 323
Topics: Artificial Intelligence, Computational Intelligence, Numeric Computing, Robotics and Automation