本文通过对蒸汽管网枝状超结构的分析,利用惩罚函数的优化技术,建立了一种基于混合整数非线性模型的蒸汽管网优化方法;同时,鉴于整型变量数目庞大所造成的最优解搜索效率下降的问题,提出了一种“禁忌搜索”的方法,提高了最优化算法的效率。 In this paper, an optimization method of steam pipe network based on mixed integer nonlinear model is established by analyzing the super structure of steam pipe network and using the optimization technique of penalty function. At the same time, given the large number of integer variables, To solve the problem of decreasing search efficiency, a “tabu search” method is proposed, which improves the efficiency of the optimization algorithm.