Comparative Study of Selection Methods in Genetic Algorithm
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.