DocumentCode :
2834338
Title :
A quantum differential evolution algorithm for function optimization
Author :
Xu, Qiuyan ; Guo, Jun
Author_Institution :
Comput. Center, East China Normal Univ., Shanghai, China
Volume :
8
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
In this paper, we propose a quantum differential evolution (QDE) algorithm for function optimization, which can improve the performance of differential evolution (DE) algorithm. First, the algorithm does some basic operations, such as mutation, crossover and selection of vectors. And then a quantum computing method is utilized to search the global optimal solutions, which avoids falling into the local minimums. Our experimental results show the proposed algorithm is feasible. And compared with other algorithms, the proposed algorithm is more effective. Furthermore it can improve the speed of convergence.
Keywords :
evolutionary computation; quantum computing; search problems; function optimization; quantum computing method; quantum differential evolution algorithm; Manganese; differential evolution; function optimization; quantum computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5620428
Filename :
5620428
Link To Document :
بازگشت