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Advances in Swarm Intelligence: 7th International Conference, ICSI 2016, Bali, Indonesia, June 25-30, 2016, Proceedings, Part I: Lecture Notes in Computer Science, cartea 9712

Editat de Ying Tan, Yuhui Shi, Ben Niu
en Limba Engleză Paperback – 15 iun 2016
 
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. 
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Specificații

ISBN-13: 9783319409993
ISBN-10: 3319409999
Pagini: 616
Ilustrații: XXVII, 657 p. 193 illus.
Dimensiuni: 155 x 235 x 35 mm
Greutate: 0.95 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Cham, Switzerland

Cuprins

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.

Caracteristici

Includes supplementary material: sn.pub/extras