最后,建立了参数不确定条件下的蒸汽动力系统(即变参数)混合整数线性规划模型(MILP),结合工程实例,采用提出的问题处理策略,利用优化软件LINGO求解,得到了经济性和可操作性都较好的运行计划方案,证明了模型的可行性...
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The model is formulated as a mixed integer linear programming (MILP) problem.
模型表达为一个混合整数规划(MIL P)问题。
However, it is quite difficult for the expansion of model under the MILP framework.
然而,在混合整数线性规划的框架下,模型的扩展十分困难。
At last, the thesis proves MILP model and its arithmetic-branch and bound method practicability and validity by giving an example.
最后,本文运用例子证明了混合整数线性规划及其算法-分枝定界法的实用性和有效性。
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