Fuzzy Adaptation through Genetic Exploration
نویسندگان
چکیده
A novel paradigm for adaptation in discrete event dynamic systems control is presented. The general idea is then applied, through simulations, to an inventory system. A fuzzy adaptation module is built from few optimal examples generated using a genetic algorithm. The fuzzy module is then capable of adapting the inventory policy achieving much better results than a static policy.
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