Tan Advances in Swarm Intelligence

Advances in Swarm Intelligence

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

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Beschreibung

The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Confrence 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. 
Includes supplementary material: sn.pub/extras

Autor*in

Ying Tan

Themen in »Advances in Swarm Intelligence«

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

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Details

ISBN: 9783319618234
Verlag: Springer International Publishing
Erscheinung: 26.06.2017

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