摘要
本文主要介绍如何通过遗传优化算法进行滚筒脱水参数优化。首先介绍了脱水控制参数的含义,并介绍了风险值、损失值的概念。其次,通过风险值、损失值定义目标因子G。然后,根据经验设定偏心分布位置的概率,和用户使用负载量的概率。最后,通过以上设置对初始控制参数进行遗传迭代优化,最终获得最理佳的控制参数。
This paper mainly introduces how to optimize the parameters of spin by genetic optimization method.Firstly,the meaning of spin control parameters is introduced,and the concepts of risk value and loss value are introduced.Secondly the goal factor G is defined by risk value,loss value.Then,setting up the probability of different unbalance position and the probability of different load based on experience.Finally,through the above settings,the initial control parameters are optimized by genetic iteration,and the optimal control parameters are obtained.
出处
《日用电器》
2021年第5期83-87,共5页
ELECTRICAL APPLIANCES
关键词
遗传算法
控制参数
目标因子
genetic algorithm
control parameters
goal factor