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Produktbild: Swarm Intelligence Based Optimization
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Swarm Intelligence Based Optimization Second International Conference, ICSIBO 2016, Mulhouse, France, June 13-14, 2016, Revised Selected Papers

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Beschreibung

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence Based Optimization, ICSIBO 2016, held in Mulhouse, France, in June 2016. The 9 full papers presented were carefully reviewed and selected from 20 submissions. They are...

Beschreibung

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence Based Optimization, ICSIBO 2016, held in Mulhouse, France, in June 2016. The 9 full papers presented were carefully reviewed and selected from 20 submissions. They are centered around the following topics: theoretical advances of swarm intelligence metaheuristics; combinatorial discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization; artificial immune systems,  particle swarms, ant colony, bacterial forging, artificial bees, fireflies algorithm; hybridization of algorithms; parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles; adaptation and applications of swarm intelligence principles to real world problems in various domains.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.11.2016

Abbildungen

IX, 125 p. 56 illus.

Herausgeber Patrick Siarry + weitere

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

25.11.2016

Abbildungen

IX, 125 p. 56 illus.

Herausgeber
Verlag Springer
Seitenzahl

125

Maße (B/H)

15,5/23,5 cm

Gewicht

234 g

Auflage

1st ed. 2016

Sprache

Englisch

ISBN

978-3-319-50306-6

Herstelleradresse

Springer International Publishing AG
Gewerbestr. 11
6330 Cham
Schweiz
Url: www.springer.com

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  • Produktbild: Swarm Intelligence Based Optimization
  • Theoretical advances of swarm intelligence metaheuristics.- Combinatorial discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization.- Artificial immune systems, particle swarms, ant colony, bacterial forging, artificial bees, fireflies algorithm.- Hybridization of algorithms.- Parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles.- Adaptation and applications of swarm intelligence principles to real world problems in various domains.