DOIONLINE

DOIONLINE NO - IJSCAI-IRAJ-DOIONLINE-7610

Publish In
International Journal of Soft Computing And Artificial Intelligence (IJSCAI)-IJSCAI
Journal Home
Volume Issue
Issue
Volume-5,Issue-1  ( May, 2017 )
Paper Title
Comparative Study of Selection Methods in Genetic Algorithm
Author Name
Mansi Gangwar, Maiya Din, V. K. Jha
Affilition
Information Security, Associate Professor, Dept of CSE, Birla Institute of Technology, Mesra Ranchi, Jharkhand, India Scientific Analysis Group Lab, Defence Research Development Organization New Delhi India
Pages
37-40
Abstract
Genetic algorithm is a directed random search technique, based on mechanics of natural selection and natural genetics. Genetic algorithm can find the global optimal solution in complex multi-dimensional search space. This paper mainly compares the various selection techniques, which is the most critical step in GA. Selection is based on fitness value; higher the fitness value more chance of selection for next population. Keywords - Genetic algorithm, Fitness proportionate Selection, Steady State Selection, Rank Selection, Truncation Selection, Tournament Selection, Hybrid Selection.
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