Simplified particle swarm algorithm based on nonlinear decrease extreme disturbance and Cauchy mutation-Reference-Cited by-同舟云学术

Simplified particle swarm algorithm based on nonlinear decrease extreme disturbance and Cauchy mutation

Published:2018-04-05 Issue:3 Volume:35 Page:236-245
ISSN:1744-5760
Container-title:International Journal of Parallel, Emergent and Distributed Systems
language:en
Short-container-title:International Journal of Parallel, Emergent and Distributed Systems

Author:

Li Jun¹²,Luo Yangkun¹²,Wang Chong¹²,Zeng Zhigao³

Affiliation:

1. College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China

2. Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan University of Science and Technology, Wuhan, China

3. College of Computer and Communication, Hunan University of Technology, Hunan, China

Funder

Open Project Program of the National Laboratory of Pattern Recognition

fund from Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System (Wuhan University of Science and Technology)

Publisher

Informa UK Limited

Subject

Computer Networks and Communications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17445760.2018.1455834

Reference17 articles.

1. Particle swarm optimization

2. An Adaptive-PSO-Based Self-Organizing RBF Neural Network

3. A Simpler and More Effective Particle Swarm Optimization Algorithm

4. Diversity enhanced particle swarm optimization with neighborhood search

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