Type-2 fuzzy logic dynamic parameter adaptation in a new Fuzzy Differential Evolution method

Patricia Ochoa, O. Castillo, J. Soria
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引用次数: 4

Abstract

In this paper we consider the Differential Evolution (DE) algorithm by using fuzzy logic to make dynamic changes in the mutation parameter (F), and this modification of the algorithm we call the Fuzzy Differential Evolution algorithm (FDE). A comparison of the FDE algorithm using type 1 fuzzy logic and interval type-2 fuzzy logic is performed for a set of Benchmark functions.
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二类模糊逻辑动态参数自适应的模糊微分演化新方法
本文考虑用模糊逻辑对变异参数F进行动态改变的微分进化算法,并将这种改进算法称为模糊微分进化算法。针对一组基准函数,比较了使用1型模糊逻辑和区间2型模糊逻辑的FDE算法。
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