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Advances in swarm intelligence : 9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018, Proceedings. Part II / Ying Tan, Yuhui Shi, Qirong Tang (eds.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 10942. | LNCS sublibrary. SL 1, Theoretical computer science and general issues.Publisher: Cham, Switzerland : Springer, 2018Description: 1 online resource (xxiv, 579 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319938189
  • 3319938185
Other title:
  • ICSI 2018
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 006.3/824 23
LOC classification:
  • Q337.3 .I28 2018eb
Online resources:
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.
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.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library eBook LNCS Available
Total holds: 0

International conference proceedings.

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed June 20, 2018).

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.

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