DocumentCode
3104979
Title
Comparative review of selection techniques in genetic algorithm
Author
Shukla, Anupriya ; Pandey, Hari Mohan ; Mehrotra, Deepti
Author_Institution
ASET, Amity Univ., Noida, India
fYear
2015
fDate
25-27 Feb. 2015
Firstpage
515
Lastpage
519
Abstract
This paper compares various selection techniques used in Genetic Algorithm. Genetic algorithms are optimization search algorithms that maximize or minimizes given functions. Indentifying the appropriate selection technique is a critical step in genetic algorithm. The process of selection plays an important role in resolving premature convergence because it occurs due to lack of diversity in the population. Therefore selection of population in each generation is very important. In this study, we have reported the significant work conducted on various selection techniques and the comparison of selection techniques.
Keywords
genetic algorithms; search problems; genetic algorithm; optimization search algorithms; premature convergence; selection techniques; Convergence; Genetic algorithms; Knowledge management; Market research; Sociology; Statistics; Wheels; Genetic Algorithm; Ranking Selection; proportionate roulette wheel selection; tournament selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015 International Conference on
Conference_Location
Noida
Print_ISBN
978-1-4799-8432-9
Type
conf
DOI
10.1109/ABLAZE.2015.7154916
Filename
7154916
Link To Document