This paper presents priority based fuzzy goal programming approach for solving multi-objective transportation problem with fuzzy coefficient.
针对具有模糊因数的多目标交通问题，提出了一种优先模糊目标规划方法。
Objective: To study the graphical method for goal programming problem whose goal function has multi-deviation variables in the same priority level.
目的：研究了对目标函数中同一优先级内含有多个带权偏差变量的目标规划问题的图解方法。
The weight coefficient was introduced into the model, and the multi-objective problem was changed into a quadratic-programming problem.
该模型通过引入权系数，使多目标问题转化为一个二次目标、线性约束的二次规划问题。
By defining the membership function of the realization extent of each objective, the multi-objective optimization problem has been turned into a fuzzy programming problem to be solved.
通过对各目标实现程度的隶属函数进行定义，将多目标优化问题转变成模糊规划问题进行求解。
The joint decision-making problem for chain store location and distribution center selection is formulated as a fuzzy multi-objective mixed-integer programming model.
建立了连锁门店选址和配送中心选择联合决策问题的模糊多目标混合整数规划模型。
Secondly, multi-objective optimization problem is reformulated into a nonlinear single-objective programming problem by means of fuzzy satisfaction-maximizing method.
采用最大模糊满意度法将多目标优化问题转化为单目标非线性规划问题；
Based on stochastic programming, a multi objective chance constrained optimization model is developed for an illustrative coal blending problem.
在随机规划学的基础上，建立了电厂优化配煤的多目标机会约束数学模型。
We formulated scenario based multi-objective stochastic programming model to describe the problem of capacity planning under uncertainty and applied improved Multi-Objective PSO (MOPSO) to solve it.
提出了基于场景的多目标随机规划模型来构建不确定市场需求环境下的能力计划问题模型，并用改进的多目标粒子群优化算法求解。
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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