Title :
Comparative review of selection techniques in genetic algorithm
Author :
Shukla, Anupriya ; Pandey, Hari Mohan ; Mehrotra, Deepti
Author_Institution :
ASET, Amity Univ., Noida, India
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;
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
DOI :
10.1109/ABLAZE.2015.7154916