Um algoritmo genético auto adaptável pela fuzzificação da taxa de mutação

Abstract

In this work, a variation of Holland's genetic algorithm will be presented for the optimization problem, focusing on the adjustment of the mutation rate parameter, by means of the population diversity and the adaptation value of the individual and, in parallel, understanding how the selection and substitution methods behave. Since these parameters directly interfere with the convergence and quality of the solution found by the genetic algorithm. To evaluate the performance of the proposed algorithm, experiments were conducted with combinatorial optimization problems, in which the convergence, the quality of the solution found,