结合HNN和拉格朗日方法的经济调度

Riad Bouakacha, Leulmi Salah
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引用次数: 1

摘要

在这项工作中,我们将通过使用HNN (Hopfield神经网络)模型结合Lagrange方法来解决ED(经济调度)问题。与使用神经元总输入的线性函数的技术相反,我们将以非线性形式使用它,允许NN的参数包含原始问题的所有信息,因此HNN能够准确地获得解。最后,将介绍一个多目标经济环境问题的模拟,结果令人鼓舞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Economic dispatch by the combination of HNN and the Lagrange method
In this work, we are going to solve the ED (economic dispatch) problem by the use of an HNN (Hopfield neural networks) model combined with the Lagrange method noted LHNN. In contrary to the techniques that use the linear function of the total inputs to neurons, we are going to use it at the non-linear form that allows the parameters of NN to contain all information of the original problem, so the HNN become able to reach exactly the solutions. At the end, simulations will be presented, with promising results, of a multi-objective economic environmental problem.
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