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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 201… Mehr…

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Advances in Swarm Intelligence - neues Buch

9, ISBN: 9783319410005

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 201… Mehr…

  - E-Book zum download Versandkosten: EUR 0.00
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Advances in Swarm Intelligence : 7th International Conference, ICSI 2016, Bali, Indonesia, June 25-30, 2016, Proceedings, Part I - neues Buch

2016

ISBN: 9783319410005

 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 20… Mehr…

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Advances in Swarm Intelligence - neues Buch

2016, ISBN: 9783319410005

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 201… Mehr…

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Advances in Swarm Intelligence - neues Buch

ISBN: 9783319410005

Computer Science; Algorithm Analysis and Problem Complexity; Artificial Intelligence (incl. Robotics); Numeric Computing; Models and Principles; Data Mining and Knowledge Discovery; Simul… Mehr…

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Bibliographische Daten des bestpassenden Buches

Details zum Buch

Detailangaben zum Buch - Advances in Swarm Intelligence als eBook Download von


EAN (ISBN-13): 9783319410005
Erscheinungsjahr: 2016
Herausgeber: Springer International Publishing

Buch in der Datenbank seit 2017-04-17T04:37:57+02:00 (Zurich)
Detailseite zuletzt geändert am 2023-04-11T17:22:43+02:00 (Zurich)
ISBN/EAN: 9783319410005

ISBN - alternative Schreibweisen:
978-3-319-41000-5
Alternative Schreibweisen und verwandte Suchbegriffe:
Titel des Buches: swarm intelligence


Daten vom Verlag:

Autor/in: Ying Tan; Yuhui Shi; Ben Niu
Titel: Theoretical Computer Science and General Issues; Lecture Notes in Computer Science; Advances in Swarm Intelligence - 7th International Conference, ICSI 2016, Bali, Indonesia, June 25-30, 2016, Proceedings, Part I
Verlag: Springer; Springer International Publishing
657 Seiten
Erscheinungsjahr: 2016-09-05
Cham; CH
Sprache: Englisch
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XXVII, 657 p. 193 illus.

EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Algorithmen und Datenstrukturen; Verstehen; bio-inspired systems; data mining; genetic algorithm; machine learning; particle swarm optimization; algorithms; ant colony optimization; autonomous robot; cellular networks; cloud computing; complex network; constrained optimization; evolutionary algorithm; fuzzy logic; hybrid learning; multi-agent design; neural networks; optimization; pattern recognition; self-organizing map; C; Algorithms; Artificial Intelligence; Numerical Analysis; Models of Computation; Data Mining and Knowledge Discovery; Computer Modelling; Computer Science; Künstliche Intelligenz; Numerische Mathematik; Theoretische Informatik; Data Mining; Wissensbasierte Systeme, Expertensysteme; Computermodellierung und -simulation; BC

 

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. 

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.


Includes supplementary material: sn.pub/extras

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