对一有界约束非线性混合整数规划问题进行了研究。
The problem of bounded nonlinear mixed integer programming is studied.
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.
该问题可以归纳为一个典型的大规模非线性混合整数规划问题。
It can be summed up as a typical large-scale nonlinear mixed-integer programming problem.
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.
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.
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.
建立了面向供应链的多产品、多订单、多时段的订单任务分配的混合整数线性规划模型。
A mixed integer linear programming (MILP) model for orders dispatching in a supply chain with multi-product, multi-order, and multi-period was proposed.
建立了热轧无缝钢管主生产计划问题的混合整数线性规划模型。
The master production scheduling(MPS) problem of hot rolling seamless steel tube is formulated as a mixed integer linear programming model.
本文首先深入分析多无人机任务分配问题的特点，建立了扩展的混合整数线性规划(MILP)任务分配模型。
Firstly, the features of UAV task assignment are analyzed in depth, and then the extended mixed integer linear programming (MILP) model for task assignment is established.
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.
以水源-水阱匹配关系为约束条件，建立了单杂质用水网络的混合整数线性规划模型。
The mixed integer linear programming model was established with the water source-sink matching as the constraint.
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.
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.
静态规划建立了混合整数规划模型，利用基于线性规划换基运算的支路交换法有效地求解该模型。
The static planning constructs the mixed integer programming model . A branch exchange technique based on the change base of linear programming solves the model effectively.
汽轮机系统和锅炉系统分别构成线性混合0 - 1整数规划问题和非线性规划问题。
The steam turbine system and the boiler system construct respectively an integral linear 0-1 problem and a non-linear problem.
建立了基于浇次计划的炉次计划模型，经过变换，将混合整数规划问题转化为线性规划迭代求解问题。
A model of furnace plan based on casting plan was established, which was converted from mixed integral program problem to linear program 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).
电网规划是一个混合整数非线性规划问题，控制变量多、复杂程度高。
It is the typical mixed and integral non-linear planning problem that there are many control variables and the complexity is high.
为了解决印刷电路板化学处理的排序问题，给出了一个新的单抓钩周期排序的混合整数规划模型，并针对该模型提出了结合线性规划模型的启发式算法。
A new mixed integer linear programming (MILP) model for the single hoist cyclic scheduling is developed, and based on this MILP model, a heuristic method together with linear programming is proposed.
GLPK是一个求解大规模的线性规划问题(LP)、混合整数规划问题(mip)以及相关问题的自由软件包。
GLPK is a package intended for solving large-scale linear programming (LP), mixed integer linear programming (MIP) problems.
将缩张算法加以改进，较大程度地减少目标函数的访问次数，既可运用到规模和难度较大的约束非线性规划问题，也可运用到整数及混合规划问题。
The Contraction expansion algorithm was improved by greatly reducing visiting objective function, so it could solve the large scale, integer and combined constrained nonlinear programming.
实例计算结果表明列队竞争算法是求解非凸非线性规划问题和混合整数非线性规划问题的一种非常有效的算法。
Computational results indicate that LCA is a very effective algorithm to solve nonlinear programming problems and mixed-integer nonlinear programming problems.
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.
基于此超结构，建立了全局能量集成的混合整数非线性规划模型，并用列队竞争算法进行求解。
Based on the super structure, a mixed integer non-linear programming (MINLP) model is established for total site energy integration.
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。
At last, the thesis proves MILP model and its arithmetic-branch and bound method practicability and validity by giving an example.
本文讨论的主要内容是双层规划中的混合整数双层线性规划。
In this paper, a sort of nonlinear bilevel mixed integer-programming problem is discussed.
介绍原油优选模型中的非线性递归模型和混合整数规划模型技术。
Multi-period mixed integer linear programming model and applications for crude selection;
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.
然而，在混合整数线性规划的框架下，模型的扩展十分困难。
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。
However, it is quite difficult for the expansion of model under the MILP framework.
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