Application of quantum-behaved particle swarm optimization algorithm

Author

Wang Shanli ; Long Jun ; Wei Zhiyi

Author_Institution

Coll. of Electr. Eng., Guangxi Univ., Nanning, China

fYear

2014

fDate

May 31 2014-June 2 2014

Firstpage

1016

Lastpage

1021

Abstract

As one of the typical examples of Swarm Intelligence Algorithm, POS has been applied successfully in many fields. But it cannot guarantee a globally optimal solution. To improve that, researchers use related theories in quantum mechanics combined with the basic convergence of particle swarm and put forward a new model of PSO as Quantum-behaved PSO. The new algorithm is convenient for appliance and good at finding the globally optimal solution. It has been proved of good performance to solve optimizing problems through engineering application instances. The paper analyzes deeply the QPSO and thoroughly discusses the engineering application of QPSO and its improvement. It also has the prospect of the development tendency and extended applications of QPSO.

Keywords

particle swarm optimisation; particle swarm convergence; quantum-behaved PSO; quantum-behaved particle swarm optimization algorithm; swarm intelligence algorithm; Algorithm design and analysis; Educational institutions; Optimization; Particle swarm optimization; Quantum computing; Quantum mechanics; Signal processing algorithms; Application; Quantum-behaved PSO; Swarm intelligence;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (2014 CCDC), The 26th Chinese

Conference_Location

Changsha

Print_ISBN

978-1-4799-3707-3

Type

conf

DOI

10.1109/CCDC.2014.6852313

Filename

6852313