DocumentCode
2539681
Title
Parameter Settings of Genetic Algorithm Based on Multi-Factor Analysis of Variance
Author
Cao, Zhengfeng ; Zhang, ZhiHui
Author_Institution
Sch. of Econ. & Manage., Beijing Inst. of Petrochem. Technol., Beijing, China
fYear
2010
fDate
13-15 Dec. 2010
Firstpage
305
Lastpage
307
Abstract
Six primary factors have been analyzed which influence the performance of the Genetic Algorithm. The concrete method has been designed of setting algorithm parameters by using multi-factor analysis of variance. And it illustrates the implementation process of the methods by specific examples of applications. In the end with the data gained from the experiment it has proved that the performance of the algorithm can be markedly improve after setting algorithm parameters by using the analysis of variance.
Keywords
genetic algorithms; analysis of variance; genetic algorithm; multifactor analysis; Algorithm design and analysis; Analysis of variance; Arrays; Biological cells; Optimization; Signal processing algorithms; Software; Genetic Algorithm; Multi-factor Analysis of variance; Orthogonal Design; Parameter Setting;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-1-4244-8891-9
Electronic_ISBN
978-0-7695-4281-2
Type
conf
DOI
10.1109/ICGEC.2010.82
Filename
5715430
Link To Document