DocumentCode :
2688652
Title :
A comprehensive comparison between real population based tournament selection and virtual population based tournament selection
Author :
Hong, Yi ; Kwong, Sam ; Ren, Qingsheng ; Wang, Xiong
Author_Institution :
City Univ. of Hong Kong, Hong Kong
fYear :
2007
fDate :
25-28 Sept. 2007
Firstpage :
445
Lastpage :
452
Abstract :
This paper gives a comprehensive comparison between real population based tournament selection and virtual population based tournament selection both in theory and in experiment. We claim that virtual population based EDA is able to obtain a comparative or even better solution when compared with the one captured by real population based EDA. EDA using virtual population based tournament selection does not store the whole population in the memory. Therefore, less memory is required when compared with the one using real population based tournament selection. Another advantage of EDA using virtual population based tournament selection is higher selection intensity can be achieved, therefore less fitness evaluations are needed to converge.
Keywords :
convergence; genetic algorithms; convergence; fitness evaluation; genetic algorithm; real population based tournament selection; virtual population based tournament selection; Algorithm design and analysis; Computer science; Costs; Electronic design automation and methodology; Genetic algorithms; Graphical models; Machine learning; Machine vision; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
Type :
conf
DOI :
10.1109/CEC.2007.4424505
Filename :
4424505
Link To Document :
بازگشت