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Advances in Swarm Intelligence: 5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part I (Lecture Notes in Computer Science, nr. 8794)

Editat de Ying Tan, Yuhui Shi, Carlos Coello Coello
Notă GoodReads:
en Limba Engleză Paperback – 23 Sep 2014
This book and its companion volume, LNCS vol. 8794 and 8795 constitute the proceedings of the 5th International Conference on Swarm Intelligence, ICSI 2014, held in Hefei, China in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in 18 cohesive sections, 3 special sessions and one competitive session covering all major topics of swarm intelligence research and development such as novel swarm-based search methods; novel optimization algorithm; particle swarm optimization; ant colony optimization for travelling salesman problem; artificial bee colony algorithms; artificial immune system; evolutionary algorithms; neural networks and fuzzy methods; hybrid methods; multi-objective optimization; multi-agent systems; evolutionary clustering algorithms; classification methods; GPU-based methods; scheduling and path planning; wireless sensor networks; power system optimization; swarm intelligence in image and video processing; applications of swarm intelligence to management problems; swarm intelligence for real-world application.
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Specificații

ISBN-13: 9783319118567
ISBN-10: 3319118560
Pagini: 536
Ilustrații: XXIV, 510 p. 162 illus.
Dimensiuni: 155 x 235 x 32 mm
Greutate: 0.8 kg
Ediția: 2014
Editura: Springer
Colecția Springer
Seriile Lecture Notes in Computer Science , Theoretical Computer Science and General Issues

Locul publicării: Cham, Switzerland

Public țintă

Research

Cuprins

Novel swarm-based search methods.- Novel optimization algorithm.- Particle swarm optimization.- Ant colony optimization for travelling salesman problem.- Artificial bee colony algorithms.- Artificial immune system.- Evolutionary algorithms.- Neural networks and fuzzy methods.- Hybrid methods.- Multi-objective optimization.- Multi-agent systems.- Evolutionary clustering algorithms.- Classification methods.- GPU-based methods.- Scheduling and path planning.- Wireless sensor networks.- Power system optimization.- Swarm intelligence in image and video processing.- Applications of swarm intelligence to management problems.- Swarm intelligence for real-world application.