Title :
A Study of Convergence of the Majority Genetic Algorithm with Infinite Size Population
Author :
Su, Jun ; Qin, Hang
Author_Institution :
Comput. Sch., Yangtze Univ., Jingzhou
Abstract :
Nowadays, the genetic algorithm (GA) has become widespread, the theoretical work from the genetic and evolutionary computation field has been largely ignored by practitioners in real world applications. This paper provides the estimation of convergence of majority GA, which depends on the size and character of optimized function.
Keywords :
convergence; genetic algorithms; evolutionary computation field; genetic algorithm convergence; infinite size population; Application software; Biological cells; Computer networks; Computer security; Convergence; Distributed computing; Evolutionary computation; Genetic algorithms; Genetic mutations; Wireless communication; Genetic algorithm; convergence; distributed computation; infinite size population;
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.2009.376
