Title :
An Improved Genetic Algorithm
Author :
Ma, Ping ; Tian, Meng ; Yang, Ming
Author_Institution :
Control & Simulation Center, Harbin Inst. of Technol., Harbin, China
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;
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
DOI :
10.1109/PCSPA.2010.241
