Javier Alcaraz Soria, Concepción Maroto Álvarez
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.
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