matlab代码影响-MasterThesis-NLP:给水管网水压的NLP优化-MINLP,罚分法,松弛法

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matlab代码影响硕士论文 该项目是在配水管网恶化引起的泄漏影响下,对配水管网进行数学优化的探索尝试。 优化过程分两步进行 Step 1: Optimal placement of pressure valves Step 2: Optimal control of the valves in the presence of known leaks 优化框架通过将水力方程式强加为非线性约束,从而解决了延长时间设置中平均网络压力的最小化问题。 液压组件(即减压阀)被建模为整数变量,从而导致非凸和非线性优化问题,该问题属于称为混合整数非线性规划(MINLP)的优化问题。 该项目实施了两种解决方案,将一系列规则非线性程序(NLP)解决了MINLP问题:罚分法和重新制定法。 尽管对使用各种数学方法进行的水网络优​​化进行了充分的研究,但该项目试图在优化框架内结合泄漏模型。 该项目还包括生成各种伪随机需求模式,用于模拟在适当需求条件下模拟的实际分销网络,尽管代码文件未包含消费者数据点的明确详细信息。 该项目需要在以下网站上的MATLAB中安装开放的优化工具箱- 关键字:非凸优化,NLP,MIN

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