DocumentCode
596754
Title
A new hybrid method combining genetic algorithm and coordinate search method
Author
Qiang Long ; Junjian Huang
Author_Institution
Sch. of Sci., Inf. Technol. & Eng., Univ. of Ballarat, Ballarat, VIC, Australia
fYear
2012
fDate
18-20 Oct. 2012
Firstpage
1072
Lastpage
1077
Abstract
This paper proposed a new hybrid method combining genetic algorithm(GA) and coordinate search method (CSM). Genetic algorithm is good at global exploration but bad at accuracy and local search. Whereas, coordinate search method is good at local exploitation, and its accuracy is reliable when searching in a local area. Thus we combine those two methods in this paper to design a hybrid method called genetic algorithm with coordinate search (GACS). Experimental tests shows that this method are good at both global search and local accuracy.
Keywords
genetic algorithms; search problems; GACS; genetic algorithm with coordinate search hybrid method; global exploration; local exploitation; local search; Conferences;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-1743-6
Type
conf
DOI
10.1109/ICACI.2012.6463337
Filename
6463337
Link To Document