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Fuzzy genetic learning automata classifier

机译:模糊遗传学习自动机分类器

摘要

A method is provided for deriving a near-optimal fuzzy automaton for a given separation problem. The method includes the steps of: forming a first generation population (24) of fuzzy automata, where the first generation population of fuzzy automata includes a plurality of fuzzy automata; performing a mutation operation (28) on each fuzzy automaton in the first generation population of fuzzy automata; reproducing the first generation population of fuzzy automata using a survival of the fittest operation (30, 32, 34); and applying a cross-over operator (36) to the reproduced first generation population of fuzzy automata, thereby yielding a next-generation population of fuzzy automata. A near-optimal fuzzy automaton is identified by evaluating the performance (38) of each fuzzy automaton in the next-generation population; otherwise the methodology is repeated until a near-optimal fuzzy automaton is derived for the given separation problem.
机译:提供了一种方法,用于针对给定的分离问题推导近似最优的模糊自动机。该方法包括以下步骤:形成第一代模糊自动机种群(24),其中第一代模糊自动机种群包括多个模糊自动机。对第一代模糊自动机中的每个模糊自动机执行变异操作(28);使用最适度操作的生存时间来再现第一代模糊自动机(30,32,34);将交叉算子(36)应用于所再现的第一代模糊自动机种群,从而产生下一代模糊自动机种群。通过评估下一代群体中每个模糊自动机的性能(38),可以确定接近最佳的模糊自动机。否则,将重复该方法,直到针对给定的分离问题得出接近最佳的模糊自动机。

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