International Journal of Soft Computing And Artificial Intelligence (IJSCAI)
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Volume-9,Issue-1  ( May, 2021 )
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Paper Title :
Comparative Study of Selection Methods in Genetic Algorithm

Author :Mansi Gangwar, Maiya Din, V. K. Jha

Article Citation :Mansi Gangwar ,Maiya Din ,V. K. Jha , (2017 ) " Comparative Study of Selection Methods in Genetic Algorithm " , International Journal of Soft Computing And Artificial Intelligence (IJSCAI) , pp. 37-40, Volume-5,Issue-1

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.

Type : Research paper

Published : Volume-5,Issue-1


DOIONLINE NO - IJSCAI-IRAJ-DOIONLINE-7610   View Here

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