DocumentCode
3020403
Title
The Model of Weights Optimization Based on Genetic Algorithm
Author
Guo, Yonghong
Author_Institution
Dept. of Mech. Electr. Eng., China JiLiang Univ., Hangzhou, China
Volume
1
fYear
2009
fDate
7-8 Nov. 2009
Firstpage
444
Lastpage
448
Abstract
The adjusting and optimizing of characteristics right is an important problem of the case amendment in CBR. And in practical applications, it is difficult to determine the vector of characteristics right of the case. Because of the global random search capability of genetic algorithm, in this paper a genetic algorithm to complete the direct search in space of right is presented, which is using genetic algorithm to optimize characteristics right by random adjusting Pc and Pm, the maximum fitness function can be found, so it can find a good right of the case. Experiments show that the method is reliable and effective.
Keywords
case-based reasoning; genetic algorithms; search problems; CBR; genetic algorithm; global random search capability; maximum fitness function; weights optimization; Artificial intelligence; Binary codes; Biological cells; Computational intelligence; Computational modeling; Diseases; Genetic algorithms; Libraries; Marine animals; Optimization methods; genetic algorithm; optimization; right;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3835-8
Electronic_ISBN
978-0-7695-3816-7
Type
conf
DOI
10.1109/AICI.2009.466
Filename
5376260
Link To Document