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The theory of species evolution formulated by Charles Darwin and the laws of inheritance described by Gregory Mendel served as theoretical scaffolding for John Holland to develop one of the first evolutionary algorithms for solving problems of optimization: the genetic algorithm, which has served as a basis for the creation of new evolutionary strategies that have the purpose of reducing times of convergence and stability, namely the repeatability of the results with respect to the number of executions. In this paper an algorithm called In Vitro Fertilization Genetic Algorithm is proposed, which is based on the simple Genetic Algorithm and the principles of assisted reproduction described by Robert Edwards, as a means of optimization of a mono objective problem of 19 variables corresponding to the tuning of membership functions of a Mamdani

Un algoritmo genético con fertilización in-vitro aplicado a la sintonización de un regulador difuso