DocumentCode
3312893
Title
Improved Real-coding Genetic Algorithm
Author
An Jian-cheng ; Jin Hai-juan ; Liu Chaohui
Author_Institution
Comput. & Sci. Coll., Tai Yuan Univ. of Technol., Taiyuan
Volume
2
fYear
2009
fDate
25-26 April 2009
Firstpage
696
Lastpage
698
Abstract
To solve the slow convergence rate and local convergence of simple genetic algorithm, an improved genetic algorithm (IGA) with real-coding, elite reservation, 2/4 competitive choosing and adaptive genetic strategy is proposed. The experiment shows that the improved algorithm is more effective in realizing the global optimization and promoting evolution efficiency.
Keywords
convergence; genetic algorithms; 2/4competitive choosing; adaptive genetic strategy; convergence rate; elite reservation; improved real-coding genetic algorithm; Biological system modeling; Computer networks; Computer security; Convergence; Decoding; Electronic mail; Evolution (biology); Genetic algorithms; Genetic mutations; Wireless communication; 2/4 competitive choosing; adaptive genetic algorithm; elite reservation; real-coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-1-4244-4223-2
Type
conf
DOI
10.1109/NSWCTC.2009.335
Filename
4908564
Link To Document