文件名称:20lagrangian_relaxation_1_2.pdf
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拉格朗日松弛方法
基于分解的方法.
开始于
简单约束
复杂约束
把复杂的约束放入目标.
我们将得到关于最小化问题的最优解的下界.
在许多情况中,这种边界接近最优解的值.
-The Lagrangian relaxation method is based on the decomposition method begins with the simple constraints of complex constraints into complex constraints into the target and we will get a lower bound on the optimal solution of the minimization problem in many cases, this boundary is close to the optimal The value of the solution.
基于分解的方法.
开始于
简单约束
复杂约束
把复杂的约束放入目标.
我们将得到关于最小化问题的最优解的下界.
在许多情况中,这种边界接近最优解的值.
-The Lagrangian relaxation method is based on the decomposition method begins with the simple constraints of complex constraints into complex constraints into the target and we will get a lower bound on the optimal solution of the minimization problem in many cases, this boundary is close to the optimal The value of the solution.
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20lagrangian_relaxation_1_2.pdf