DOIONLINE 
DOIONLINE Publish In |
International Journal of Soft Computing And Artificial Intelligence (IJSCAI)-IJSCAI |
 Journal Home Volume Issue |
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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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