Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10386)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: ICSI 2017.
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Table of contents (67 papers)
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Multi-agent Systems and Swarm Robotics
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Hybrid Optimization Algorithms and Applications
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Fuzzy and Swarm Approach
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Clustering and Forecast
Other volumes
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Advances in Swarm Intelligence
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Advances in Swarm Intelligence
Keywords
- artificial intelligence
- genetic algorithms
- evolutionary algorithms
- particle swarm optimization
- pso
- differential evolution
- learning algorithms
- robots
- wireless telecommunication systems
- meta heuristics
- wireless sensor networks
- telecommunication networks
- constrained optimization
- algorithm analysis and problem complexity
About this book
The total of 133 papers presented in these volumes was carefully reviewed and selected from 267 submissions. The paper were organized in topical sections as follows:
Part I: theories and models of swarm intelligence; novel swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh; and firefly algorithm.
Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm robotics; hybrid optimization algorithms and applications; fuzzy and swarm approach; clustering and forecast; classification and detection; planning and routing problems; dialog system applications; robotic control; and other applications.
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Swarm Intelligence
Book Subtitle: 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings, Part II
Editors: Ying Tan, Hideyuki Takagi, Yuhui Shi, Ben Niu
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-61833-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-61832-6Published: 26 June 2017
eBook ISBN: 978-3-319-61833-3Published: 18 July 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXVII, 641
Number of Illustrations: 214 b/w illustrations
Topics: Algorithm Analysis and Problem Complexity, Numeric Computing, Data Mining and Knowledge Discovery, Artificial Intelligence, Simulation and Modeling