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Advances in Swarm Intelligence : 9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018, Proceedings, Part II / edited by Ying Tan, Yuhui Shi, Qirong Tang.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Tan, Ying., Editor.
Shi, Yuhui, Editor.
Tang, Qirong, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 10942
Theoretical Computer Science and General Issues, 2512-2029 ; 10942
Language:
English
Subjects (All):
Algorithms.
Artificial intelligence.
Computer networks.
Computer engineering.
Artificial Intelligence.
Computer Communication Networks.
Computer Engineering and Networks.
Local Subjects:
Algorithms.
Artificial Intelligence.
Computer Communication Networks.
Computer Engineering and Networks.
Physical Description:
1 online resource (XXIV, 579 pages) : 247 illustrations
Edition:
1st ed. 2018.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2018.
System Details:
text file PDF
Summary:
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.
Contents:
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. .
Other Format:
Printed edition:
ISBN:
978-3-319-93818-9
9783319938189
Access Restriction:
Restricted for use by site license.

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