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Advances in Swarm Intelligence 5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part I

Title
Advances in Swarm Intelligence [electronic resource] : 5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part I / edited by Ying Tan, Yuhui Shi, Carlos Coello Coello.
ISBN
9783319118574
Edition
1st ed. 2014.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2014.
Physical Description
1 online resource (XXIV, 510 p.) 162 illus.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
April 05, 2023
Series
Theoretical Computer Science and General Issues, 8794
Theoretical Computer Science and General Issues, 8794
Contents
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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