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Advances in Swarm Intelligence
  • Advances in Swarm Intelligence
Advances in Swarm Intelligence 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings, Part II

Advances in Swarm Intelligence 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings, Part II

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Lecture Notes in Computer Science Theoretical Computer Science and General Issues

Advances in Swarm Intelligence

8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings, Part II

Ying Tan | Hideyuki Takagi | Yuhui Shi | Ben Niu

Computers / Programming / Algorithms

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. 

Publication Date: 26 June 2017
Publisher: Springer International Publishing
Imprint: Springer
ISBN-13: 9783319618326
Format: Paperback / softback
Page Count: 641

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