DocumentCode
1867694
Title
Hybrid genetic algorithm based on an effective local search technique
Author
Fei Jin ; Rui Shan ; Yan Zhang ; Huanpeng Wang
Author_Institution
College of science, Yanshan University, Qinhuangdao 066004, Hebei in China
fYear
2012
fDate
3-5 March 2012
Firstpage
1146
Lastpage
1149
Abstract
This paper presents a hybrid genetic algorithm (HGA) with a local search technique, a local search technology into the genetic algorithm (GA). This local search technology, that is, set a selection mechanism which uses the steepest descent method, and is used to determine whether convergence algorithm or not. The basic genetic algorithm (BGA) and with a local search hybrid algorithm (HGA) to the numerical results shows that the algorithm has high efficiency. Finally, After taking numerical examples, it shows the proposed hybrid algorithm has a good performance.
Keywords
Hybrid genetic algorithm; Local search technology; The steepest descent method;
fLanguage
English
Publisher
iet
Conference_Titel
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location
Xiamen
Electronic_ISBN
978-1-84919-537-9
Type
conf
DOI
10.1049/cp.2012.1181
Filename
6492788
Link To Document