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 :
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