An Adaptive Simplex Genetic algorithm
نویسندگان
چکیده
In this paper, based on our previous research on simplex genetic algorithm, we put forward an adaptive approach for the self-adaptation of the percentage of simplex. According to the average fitness of those individuals generated by simplex operator in a certain generation, a set of rules is designed to adaptively adjust the simplex percentage within a certain range. This helps the algorithm always run at a relative optimized simplex percentage. We test our approach on both testbed problems and a real metabolic modeling problem. The results are satisfactory.
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