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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About this book
The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Conference on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017.
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.
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.
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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
Table of contents (67 papers)
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Front Matter
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Multi-objective Optimization
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Front Matter
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Portfolio Optimization
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Front Matter
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Community Detection
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Front Matter
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Multi-agent Systems and Swarm Robotics
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Front Matter
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Other volumes
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Advances in Swarm Intelligence
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Advances in Swarm Intelligence
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