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