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 :
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