Title :
The analysis of particle swarm optimization algorithm’s convergence
Author :
Lian, Zhigang ; Zhu, Fan ; Guan, Zailin ; Shao, Xinyu
Author_Institution :
Dept. of Ind. & Manuf. Syst. Eng., KEDA Ind. CO., Ltd., Foshan
Abstract :
Particle swarm optimization (PSO) algorithm has been developing rapidly and applied widely such as to combination optimization, network optimization and production scheduling etc since it was introduced, as it is easily understood and realized. However, on theory research of PSO algorithm is deficient, especially its convergence analysis is few. This paper studies particle swarm optimization algorithmpsilas convergence and obtain its convergence qualification.
Keywords :
convergence; particle swarm optimisation; PSO; combination optimization; convergence analysis; convergence qualification; network optimization; particle swarm optimization algorithm; production scheduling; Algorithm design and analysis; Birds; Convergence; Electrical equipment industry; Industrial control; Manufacturing industries; Manufacturing systems; Particle swarm optimization; Qualifications; Systems engineering and theory; Convergence; Optimization; Original particle swarm optimization;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4592994