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Advances in swarm intelligence = 8th...
~
Takagi, Hideyuki.
Advances in swarm intelligence = 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 - August 1, 2017 : proceedings.. Part I /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Advances in swarm intelligence/ edited by Ying Tan, Hideyuki Takagi, Yuhui Shi.
Reminder of title:
8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 - August 1, 2017 : proceedings.
remainder title:
ICSI 2017
other author:
Tan, Ying.
corporate name:
Workshop on the Preservation of Stability under Discretization
Published:
Cham :Springer International Publishing : : 2017.,
Description:
xxvii, 631 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Swarm intelligence - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-319-61824-1
ISBN:
9783319618241
Advances in swarm intelligence = 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 - August 1, 2017 : proceedings.. Part I /
Advances in swarm intelligence
8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 - August 1, 2017 : proceedings.Part I /[electronic resource] :ICSI 2017edited by Ying Tan, Hideyuki Takagi, Yuhui Shi. - Cham :Springer International Publishing :2017. - xxvii, 631 p. :ill., digital ;24 cm. - Lecture notes in computer science,103850302-9743 ;. - Lecture notes in computer science ;6140..
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.
ISBN: 9783319618241
Standard No.: 10.1007/978-3-319-61824-1doiSubjects--Topical Terms:
674572
Swarm intelligence
--Congresses.
LC Class. No.: Q337.3 / .I28 2017
Dewey Class. No.: 006.3824
Advances in swarm intelligence = 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 - August 1, 2017 : proceedings.. Part I /
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8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 - August 1, 2017 : proceedings.
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edited by Ying Tan, Hideyuki Takagi, Yuhui Shi.
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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.
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Computer Science (Springer-11645)
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