Title :
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
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;
Conference_Titel :
Computational Intelligence and Security (CIS), 2012 Eighth International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-4725-9
DOI :
10.1109/CIS.2012.10
