基于神经网络和混合遗传算法的优化控制研究

The research of optimization control on the basis of neural network and hereditary algorithm

本文主要提出一种对复杂系统进行智能优化控制的解决方案,首先采用神经网络对欲控制的复杂系统进行建模,然后采用实际数据构建针对性的神经网络模型,最后用混合遗传算法对神经网络模型进行制定参数寻优,从而获得对复杂系统的智能优化控制。在理论探讨的基础上,本文给出了此优化控制方法的相关MATLAB程序,只要针对具体问题稍加调整,相信此程序能较好地解决实际中复杂系统的优化控制问题。

This text puts forward one kind and carries on intelligence and optimizes the solution controlled to complicated system mainly, adopting the neural network will carry on modeling to the complicated system wanting to control at first, then adopt the real data to structure the neural network model of pertinence , make the parameter to seek to the neural network model excellently by mixing the hereditary algorithm finally, thus got intelligence to the complicated system to optimize and control. On the basis of the thing that the theory is probed into, this text provides this and optimizes relevant MATLAB procedure which controls the method, so long as adjust a little to the concrete problem, can believe this procedure well the optimization of the complicated system controls the problem in the reality of solving.