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Swarm intelligence based optimization = second International Conference, ICSIBO 2016, Mulhouse, France, June 13-14, 2016 : revised selected papers /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Swarm intelligence based optimization/ edited by Patrick Siarry, Lhassane Idoumghar, Julien Lepagnot.
Reminder of title:	second International Conference, ICSIBO 2016, Mulhouse, France, June 13-14, 2016 : revised selected papers /
remainder title:	ICSIBO 2016
other author:	Siarry, Patrick.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer International Publishing : : 2016.,
Description:	ix, 125 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Swarm intelligence - Congresses. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-50307-3
ISBN:	9783319503073

Swarm intelligence based optimization = second International Conference, ICSIBO 2016, Mulhouse, France, June 13-14, 2016 : revised selected papers /
Swarm intelligence based optimizationsecond International Conference, ICSIBO 2016, Mulhouse, France, June 13-14, 2016 : revised selected papers /[electronic resource] :ICSIBO 2016edited by Patrick Siarry, Lhassane Idoumghar, Julien Lepagnot. - Cham :Springer International Publishing :2016. - ix, 125 p. :ill., digital ;24 cm. - Lecture notes in computer science,101030302-9743 ;. - Lecture notes in computer science ;6140..

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.

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.

ISBN: 9783319503073

Standard No.: 10.1007/978-3-319-50307-3doiSubjects--Topical Terms:

674572
Swarm intelligence
--Congresses.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 005.1

Swarm intelligence based optimization = second International Conference, ICSIBO 2016, Mulhouse, France, June 13-14, 2016 : revised selected papers /
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520 $a 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.
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