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
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;
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
DOI :
10.1109/NSWCTC.2009.335
