DocumentCode
532364
Title
An improved differential evolution algorithm for binary CSPs
Author
Ye, Qiangsheng
Author_Institution
Coll. of Comput. Sci. & Technol., Jilin Bus. & Technol. Coll., Jilin, China
Volume
7
fYear
2010
fDate
22-24 Oct. 2010
Abstract
An improved differential evolution (IDE) algorithm is presented in this paper to solve binary constraint satisfaction problems (CSPs). To improve the performance IDE adjust the mutation rate F and the crossover rate CR dynamically with taking account of the different distribution of population. We use IDE to maintain the diversity of population and improve the global convergence ability. The experimental results show that our improved differential evolution algorithm is effective and efficient to solve binary CSPs.
Keywords
operations research; optimisation; binary constraint satisfaction problems; improved differential evolution algorithm; Boolean functions; Computers; Data structures; CSPs; Improved; differential evolution;
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.2010.5620418
Filename
5620418
Link To Document