DocumentCode
3089651
Title
An Improved Genetic Algorithm
Author
Ma, Ping ; Tian, Meng ; Yang, Ming
Author_Institution
Control & Simulation Center, Harbin Inst. of Technol., Harbin, China
fYear
2010
fDate
17-19 Sept. 2010
Firstpage
977
Lastpage
980
Abstract
In this paper, an improved Genetic Algorithm is proposed. We introduce Support Vector Machines (SVM) into Genetic Algorithm (GA) based on the traditional GA. Through forecasting the gene encoding to divide the chromosomes, it reduces the searching range of gene. Finally, the experimental results prove that the improved algorithm has reached the aim of accelerating the constringency speed and shortening the computing time.
Keywords
genetic algorithms; support vector machines; improved genetic algorithm; searching range; support vector machines; Classification algorithms; Encoding; Gallium; Genetic algorithms; Genetics; Heuristic algorithms; Support vector machines; Genetic Algorithm; Support Vector Machines; constringency speed; forecasting classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-8043-2
Electronic_ISBN
978-0-7695-4180-8
Type
conf
DOI
10.1109/PCSPA.2010.241
Filename
5635953
Link To Document