DocumentCode
3448117
Title
The Application of Improved Genetic Algorithm in Optimization of Function
Author
Tan Ran ; Guo Shaoyong
Author_Institution
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan
fYear
2008
fDate
12-14 Oct. 2008
Firstpage
1
Lastpage
4
Abstract
This paper points out defects of the traditional genetic algorithm (TGA), and has made improvement in it. An optimization strategy of combination is described. The improved genetic algorithm (IGA) is used to search the better answer in the whole feasible domain, and TGA is used to find the best answer in the local domain. The example shows the rationality and efficiency of this algorithm. This algorithm improves population diversity in the process of evolution, adapting bigger probability of crossover and mutation.
Keywords
genetic algorithms; search problems; genetic algorithm; population diversity; Application software; Computer science; Convergence; Encoding; Extraterrestrial phenomena; Genetic algorithms; Genetic mutations; Organisms; Paper technology; Radio access networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-2107-7
Electronic_ISBN
978-1-4244-2108-4
Type
conf
DOI
10.1109/WiCom.2008.1276
Filename
4679184
Link To Document