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Advances in Swarm Intelligence : 7th International Conference, ICSI 2016, Bali, Indonesia, June 25-30, 2016, Proceedings, Part II / edited by Ying Tan, Yuhui Shi, Li Li.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Tan, Ying., Editor.
Shi, Yuhui, Editor.
Li, Li, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 9713
Theoretical Computer Science and General Issues, 2512-2029 ; 9713
Language:
English
Subjects (All):
Algorithms.
Artificial intelligence.
Numerical analysis.
Computer science.
Data mining.
Computer simulation.
Artificial Intelligence.
Numerical Analysis.
Models of Computation.
Data Mining and Knowledge Discovery.
Computer Modelling.
Local Subjects:
Algorithms.
Artificial Intelligence.
Numerical Analysis.
Models of Computation.
Data Mining and Knowledge Discovery.
Computer Modelling.
Physical Description:
1 online resource (XXVII, 629 pages) : 260 illustrations
Edition:
1st ed. 2016.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2016.
System Details:
text file PDF
Summary:
This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence, ICSI 2016, held in Bali, Indonesia, in June 2016. The 130 revised regular papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in 22 cohesive sections covering major topics of swarm intelligence and related areas such as trend and models of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their applications; hybrid search optimization; particle swarm optimization; PSO applications; ant colony optimization; brain storm optimization; fireworks algorithms; multi-objective optimization; large-scale global optimization; biometrics; scheduling and planning; machine learning methods; clustering algorithm; classification; image classification and encryption; data mining; sensor networks and social networks; neural networks; swarm intelligence in management decision making and operations research; robot control; swarm robotics; intelligent energy and communications systems; and intelligent and interactive and tutoring systems. .
Contents:
Scheduling and planning
Machine learning methods
Clustering algorithm
Classification
Image classification and encryption
Data mining
Sensor networks and social networks
Neural networks
Swarm intelligence in management decision making and operations research
Robot control
Swarm robotics
Intelligent energy and communications systems
Intelligent and interactive and tutoring systems. .
Other Format:
Printed edition:
ISBN:
978-3-319-41009-8
9783319410098
Access Restriction:
Restricted for use by site license.

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