提出了利用随机混合整数规划方法，建立了一体化模型。
An integrated model is proposed using stochastic mixed integer programming approach.
我们将说明传统的混合整数规划方法使问题难以描述和解决。
We will show that the traditional mixed integer programming approach makes the problem difficult to represent and solve.
该模型属非线性混合整数规划问题，采用神经网络方法求解，并给出了计算机软件算法框图。
This model is nonlinear mixed integer programming and can be solved with neural network method and the chart of computer calculation process is also given.
本文给出了用代理约束选取混合整数线性规划问题初始可行解的一种方法。
In this paper, a method using surrogate constraint to select an initial feasible solution of a mixed integer linear programming problem is presented.
目前，无功优化方法主要有线性规划法，非线性规划法，混合整数规划法，动态规划法等传统的数学优化方法，以及人工智能优化算法。
The algorithm mostly includes the tradition math optimization means, such as linear layout, nonlinear layout, mixed integral layout means, dynamic layout means, and artificial intelligence algorithm.
针对编队卫星队形重构的轨迹规划问题，提出了直接配置混合整数线性规划(DCMILP)方法。
This article presents a direct collocation mixed integer linear programming (DCMILP) method for energy-optimal trajectory planning of satellite formation reconfiguration.
分支定界法可求纯整数或混合整数线性规划问题，求解方法由分支和定界组成。
To develop a branch and bound method for this problem, a nonlinear integer-programming model was constructed.
分支定界法可求纯整数或混合整数线性规划问题，求解方法由分支和定界组成。
To develop a branch and bound method for this problem, a nonlinear integer-programming model was constructed.
应用推荐