基于遗传算法的模糊规则的生成

Fuzzy Rule Generation Based on Genetic Algorithm

模糊控制是人工智能的一重要研究领域 ,已经在很多方面得到了应用。模糊规则是一个智能系统的核心部分 ,所以模糊规则自动生成的研究一直以来吸引了很多的学者。遗传算法 (GeneticAlgorithm ,GA)是模拟达尔文的遗传选择和自然淘汰的生物进化进程的计算模型 ,它是一种高度并行的随机化搜索的自适应的组合优化算法。该文提出了一种利用遗传算法自动生成模糊规则的方法 ,因为遗传算法的全局优化能力 ,所以可以得到相对较为合适的模糊规则 ,通过仿真结果 。

Fuzzy control is one of import research areas in artificial intelligence, which has been widely applied to many aspects. Fuzzy rule is the core of intelligent system, so the research on automatic generation of fuzzy rule attracts many researchers. Genetic algorithm (GA) is a calculation model simulating the theory of natural choose and biological evolution of Darwin. It is a kind of combinatorial optimized algorithm possessing parallel character, stochastic and adaptive character. This paper proposes a way of generating automatically fuzzy rule by using genetic algorithm,by which the appropriate rules can be obtained because of unitary optimizing ability, and it is a pressing and feasible means which can be seen from the result of simulation.