免疫遗传算法的改进及其在模糊控制中的应用研究

AN IMPROVED IMMUNE GENETIC ALGORITHM FOR FUZZY CONTROL

  • 摘要: 本文对免疫遗传算法加以改进后,应用于多变量模糊控制器的模糊规则提取.研究结果表明:改进后免疫遗传算法既能有效克服用遗传算法筛选模糊规则造成的早熟现象,又能充分利用现有经验,对学习过程进行适当引导,加快收敛速度.

     

    Abstract: In the paper, an improved immune algorithm is used to generate the rule-base of fuzzy controller. Simulation results show that using immune algorithm to optimize fuzzy controller helps to solve premature problems and to quicken evolution course by referring to the existing experience.

     

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