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。
After analyzing the superstructure of tree-shaped steam network, using the optimized technology of penalty function, established a new method for optimal design of steam network, which based on the model of mixed integer nonlinear; at the same time, in view of enormous number of integer variables and complicated combinations of optimization variables, resulting in the problem of declining efficiency in search the optimum solution, proposed a "taboo search" method to improve the efficiency of optimization algorithm.