A Modified PSO Method Based on Cultural Algorithm and Quantum Computing

Author

Xiao-Zhi Gao ; Ying Wu ; Xiaolei Wang ; Xianlin Huang ; Zenger, Kai ; Xiaofeng Wang

Author_Institution

Coll. of Inf. Eng., Shanghai Maritime Univ., Shanghai, China

fYear

2012

fDate

17-18 Nov. 2012

Firstpage

5

Lastpage

10

Abstract

A novel Cultural Quantum-behaved Particle Swarm Optimization algorithm (CQPSO) is proposed in this paper to improve the performance of the Quantum-behaved PSO (QPSO). The cultural framework is embedded in our QPSO, and the knowledge stored in the belief space can guide the evolution of the QPSO. A total of 15 high-dimensional and multi-modal functions as well as an optimal pressure vessel design problem are employed to investigate the proposed algorithm. Numerical simulations results demonstrate that the CQPSO can indeed outperform the QPSO.

Keywords

modal analysis; numerical analysis; particle swarm optimisation; pressure vessels; quantum computing; CQPSO; belief space; cultural algorithm; cultural quantum-behaved particle swarm optimization algorithm; high-dimensional functions; modified PSO method; multimodal functions; numerical simulations; optimal pressure vessel design problem; quantum computing; quantum-behaved PSO; Algorithm design and analysis; Cultural differences; Educational institutions; Optimization; Particle swarm optimization; Sociology; Statistics; Cultural Algorithm (CA); Particle Swarm Optimization (PSO); function optimization; optimal pressure vessel design; quantum computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Security (CIS), 2012 Eighth International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-1-4673-4725-9

Type

conf

DOI

10.1109/CIS.2012.10

Filename

6405857