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Advances in Swarm Intelligence9th In...

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Advances in Swarm Intelligence9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018 : proceedings.Part II /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in Swarm Intelligenceedited by Ying Tan, Yuhui Shi, Qirong Tang.
Reminder of title:	9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018 : proceedings.
remainder title:	ICSI 2018
other author:	Tan, Ying.
corporate name:
Published:	Cham :Springer International Publishing :2018.
Description:	xxiv, 579 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Swarm intelligenceCongresses.
Online resource:	http://dx.doi.org/10.1007/978-3-319-93818-9
ISBN:	9783319938189$q(electronic bk.)

Advances in Swarm Intelligence9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018 : proceedings.Part II /
Advances in Swarm Intelligence9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018 : proceedings.Part II /[electronic resource] :ICSI 2018edited by Ying Tan, Yuhui Shi, Qirong Tang. - Cham :Springer International Publishing :2018. - xxiv, 579 p. :ill., digital ;24 cm. - Lecture notes in computer science,109420302-9743 ;. - Lecture notes in computer science ;4891..

Multi-agent systems -- swarm robotics -- fuzzy logic approaches -- planning and routing problems -- recommendation in social media -- predication -- classification -- finding patterns -- image enhancement -- deep learning -- theories and models of swarm intelligence -- ant colony optimization -- particle swarm optimization -- artificial bee colony algorithms -- genetic algorithms -- differential evolution -- fireworks algorithm -- bacterial foraging optimization -- artificial immune system -- hydrologic cycle optimization -- other swarm-based optimization algorithms -- hybrid optimization algorithms -- multi-objective optimization -- large-scale global optimization.

The two-volume set of LNCS 10941 and 10942 constitutes the proceedings of the 9th International Conference on Advances in Swarm Intelligence, ICSI 2018, held in Shanghai, China, in June 2018. The total of 113 papers presented in these volumes was carefully reviewed and selected from 197 submissions. The papers were organized in topical sections namely: multi-agent systems; swarm robotics; fuzzy logic approaches; planning and routing problems; recommendation in social media; predication; classification; finding patterns; image enhancement; deep learning; theories and models of swarm intelligence; ant colony optimization; particle swarm optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; bacterial foraging optimization; artificial immune system; hydrologic cycle optimization; other swarm-based optimization algorithms; hybrid optimization algorithms; multi-objective optimization; large-scale global optimization.

ISBN: 9783319938189$q(electronic bk.)

Standard No.: 10.1007/978-3-319-93818-9doiSubjects--Topical Terms:

442896
Swarm intelligence
--Congresses.

LC Class. No.: Q337.3 / .I28 2018

Dewey Class. No.: 006.3824

Advances in Swarm Intelligence9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018 : proceedings.Part II /
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520 $a The two-volume set of LNCS 10941 and 10942 constitutes the proceedings of the 9th International Conference on Advances in Swarm Intelligence, ICSI 2018, held in Shanghai, China, in June 2018. The total of 113 papers presented in these volumes was carefully reviewed and selected from 197 submissions. The papers were organized in topical sections namely: multi-agent systems; swarm robotics; fuzzy logic approaches; planning and routing problems; recommendation in social media; predication; classification; finding patterns; image enhancement; deep learning; theories and models of swarm intelligence; ant colony optimization; particle swarm optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; bacterial foraging optimization; artificial immune system; hydrologic cycle optimization; other swarm-based optimization algorithms; hybrid optimization algorithms; multi-objective optimization; large-scale global optimization.
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