模糊自适应遗传算法的原理和发展

Principles and Development of Fuzzy Adaptive Genetic Algorithms

模糊自适应遗传算法是将模糊控制器应用于遗传算法性能和参数控制的新型进化算法。该文论述了模糊自适应遗传算法的定义和基本原理,并根据规则基不同的产生方式对其进行了系统分类,最后提出了模糊自适应遗传算法性能改进和应用研究的发展方向。

Fuzzy adaptive genetic algorithm（FAGA） is the new evolutionary algorithm which applies the fuzzy controller to the performance and parameter control of genetic algorithm.Basic concept and principles of FAGA have been depicted at first in this paper.Then systematic classification of FAGA has also been presented thoroughly according to the different derivation ways of the rule base.At the end,a few new promising research directions on this topic have been proposed.