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
Copyright: © Institute of Research and Journals
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Published on 2017-06-14 |
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