The optional solution of fuzzy multiple objective linear programming is not unique due to uncertain goals and parameters.
由于目标和参数的不确定性，模糊多目标线性规划的最优解不是唯一的。
In this paper, We advance multiple objective linear programming with interval Numbers, According to the method of interval Numbers, We given find solution method of the model.
提出了具区间数的多目标线性规划模型，根据对区间数的处理方法，给出了该模型的求解方法。
Basing on the trait of United Logistics and the principle of min-cost, a single-objective linear programming model (SLPM) for the ammunition transportation problem is presented.
结合联勤体制下我军弹药调运的特点，基于最低运费的原则，建立了弹药运输问题的单目标线性规划模型，并通过表上作业法求解了实际算例。
Presents a special nonlinear programming problems, its objective function contains absolute value symbol, this kind of problem can be transformed to the solution of a linear programming problems.
给出了一类特殊的非线性规划问题，其目标函数中带有绝对值符号，这类问题可以转化为线性规划问题来求解。
Based on partial preference information (i. e. weight), this paper presents a linear programming algorithm for multi objective decision making.
基于部分偏好信息(目标权重)，本文提出了多目标决策的一种线性规划算法。
We present fuzzy relation linear programming with fuzzy objective coefficient, this programming is expand to conventional fuzzy relation linear programming.
提出了目标系数模糊型模糊关系线性规划问题，这是传统模糊关系线性规划的扩展。
This formulation results in a large scale 0-1 programming problem with nonlinear objective function and linear or nonlinear constraints.
该数学表达式表现为一个具有非线性目标函数及线性与非线性约束条件的大规模0 - 1规划问题。
Some concepts such as triangular fuzzy number consistent complementary judgement matrix, etc., are given and a linear objective programming model is established.
提出了三角模糊数一致性互补判断矩阵等概念，建立了一个线性目标规划模型。
Objective: To search optimal solutions of convex programming problems with linear constraints.
求线性约束凸规划问题的最优解。
The dissertation takes action about a kind of uncertain linear programming problem with interval numbers and fuzzy numbers in objective programming respectively.
本文讨论了一类不确定性线性规划问题一一变量为三角模糊数的线性规划问题。
In mathematical programming, the problem in which the objective function and constraints are not all linear is called nonlinear programming.
在数学规划中，当问题的目标函数和约束条件并非均为线性时，该问题即称为非线性规划。
In order to improve the computational efficiency, a branch algorithm for general integer linear programming problems on the objective function hyperplane shifts was presented.
为了提高求解一般整数线性规划问题的效率，提出了一种基于目标函数超平面移动的分支算法。
Mathematical models that use linear, nonlinear, dynamic, integer, or multi-objective programming algorithms.
数学模型，如利用线性、非线性、动态、整数或多目标编程算法。
Based on the principle of the dual simplex method about linear programming, the changes of the value of the objective function in iterations have been studied.
运用求解线性规划对偶单纯形算法原理，进一步研究迭代过程中目标函数的变化。
Linear programming with fuzzy-numbered Cost Coefficients, include of Single-objective and Multi-objective problems, is a important content in fuzzy decision makings.
目标中含有模糊系数的线性规划，是模糊决策的一个重要内容。
The objective function of total Gibbs free energy of system is linearized to solve the optimality problem by linear programming.
将目标函数（物系总自由焓）作线性化处理，用单纯形法求解线性化后的寻优问题。
By linear weighing-sum method, the multi-objective optimization was converted into a linear programming problem with the evaluation equation. Process parameters were optimized with SQP algorithm.
利用线性加权和法，建立了评价函数，将多目标优化问题转化为单目标非线性规划问题。
By linear weighing-sum method, the multi-objective optimization was converted into a linear programming problem with the evaluation equation. Process parameters were optimized with SQP algorithm.
利用线性加权和法，建立了评价函数，将多目标优化问题转化为单目标非线性规划问题。
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