最后通过解决非线性混合整数规划，完成系统的优化管理。
Finally, the optimization of system management would be completed through solving nonlinear mixed integer programming.
电力系统机组组合问题是一个典型的大规模混合整数的非线性组合优化问题，很难得到理论上的最优解。
Power system unit commitment, a problem of nonlinear commitment optimization with typical large-scale hybrid integers, is difficult to get an optimal solution in theory.
配电网络规划属于非线性混合整数规划问题，应用传统数学优化算法往往难以直接求解。
Distribution network planning is a nonlinear mixed integer program problem which is usually difficult to be solved by conventional optimization algorithm.
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.
结合混沌变量的随机遍历特性，将混沌优化算法应用于输电网非线性混合整数规划模型的优化求解。
Given the stochastic and ergodic characteristics of fuzzy variables, a chaos optimization algorithm is introduced to solve the planning problem.
多目标过程优化综合问题为多目标混合整数非线性规划模型的求解。
This question almost solves the model of Multi-objectives Mix-integer Nonlinear Programming (MOMINLP).
该模型基于混合整数线性规划模型，以供应网络内总生产成本和物流成本最小化作为目标函数，并应用标准优化软件求解。
Minimizing total production and logistic costs within the supply network was considered as the objective function. This modified model can be solved using standard optimization software.
提出了一种完整的配电网络非线性混合整数动态无功优化模型及数学优化算法。
This paper presents an integrated mixed-integer/nonlinear dynamic reactive-power optimization model and algorithm for power distribution network.
提出了一种完整的配电网络非线性混合整数动态无功优化模型及数学优化算法。
This paper presents an integrated mixed-integer/nonlinear dynamic reactive-power optimization model and algorithm for power distribution network.
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