节点文献
基于实验、神经网络和遗传算法的一种优化设计方法
An Optimal Design Based on Experiment, Neural Networks and Genetic Algorithm
【摘要】 针对传统优化设计方法对于机理复杂情况难以给出明确函数及只能寻优局部极值的缺陷 ,提出了用实验数据和神经网络形成“虚拟”函数和用遗传算法寻优全局极值的一种优化设计方法 ,并给出了一个优化实例
【Abstract】 It is difficult for the traditional optimization to get the function between the objects and the variables in the complex case. With this traditional method the better solution can only been found in local area. The paper describes an optimization method, which produces a virtual function between the objects and the variables according to the experiment data and artificial neutral networks learning at first, then finds the best answer using genetic algorithm. It also gives an example.
【关键词】 神经网络;
遗传算法;
优化设计;
【Key words】 Artificial Neutral Network; Genetic Algorithm; Optimization Method;
【Key words】 Artificial Neutral Network; Genetic Algorithm; Optimization Method;
- 【文献出处】 机械设计与制造工程 ,Machine Design and Manufacturing Engineering , 编辑部邮箱 ,2001年06期
- 【分类号】TP183
- 【被引频次】20
- 【下载频次】208