Genetic Algorithms have been applied to many different optimization problems and they are one of the most promising metaheuristics. We have developed new crossover techniques with a good performance in a wide sample of projects. Our computational analysis also permits to determine the optimal population size depending on some genetic algorithm parameters.
© 2001-2024 Fundación Dialnet · Todos los derechos reservados