多目标规划

共同配送中的车货配载问题多目标规划研究

MOP about the Matched Problem of Wagons and Cargo in Common Distribution

多目标规划模型的建立则是以生态承载力、人口总量和海洋产业产值为目标函数，从海洋环境容量约束、资源约束入手。

Meanwhile , taking ecological carrying capacity , population and total output value of marine industry as the objective function , and considering the constraints of marine environment carrying capacity and marine resouces , the study have tried to set up MOP model .

这些结果对于讨论具有控制锥的Fuzzy多目标规划是有用的。

These results are useful to investigate fuzzy multiobjective programming with domination cone .

多目标规划问题的FUZZY像集和FUZZY点

Fuzzy Image Set and Fuzzy Point of the Problem of Multiple Objective Programming

具有Fuzzy约束的非光滑多目标规划的Fuzzy强有效解的最优性条件

Optimal conditions for fuzzy strong efficient solutions in Nonsmooth Multiobjective Programming with fuzzy constraints

具有Fuzzy约束的多目标规划的σ－有效解和α－弱有效解

α - efficient solutions and α - weak efficient solutions in multiobjective programming with fuzzy constraints

后者是一类非线性多目标规划问题，我们把它称为B运输问题。

The later is a nonlinear multiobjective programming , and it is called B Transportation Problem .

G-（F，ρ）凸意义下多目标规划真有效解的对偶性

Duality for multiobjective programming with g - ( f ,ρ) convexity

约束中具有Fuzzy参数的多目标规划（Ⅰ）&解的定义及其性质

MULTIOBJECTIVE PROGRAMMING PROBLEMS WITH FUZZY PARAMETERS IN TEH CONSTRAINTS ( I ) & The Definition And Properties of Solutions

不可微B－凸多目标规划

Nondifferentiable B-vex multiobjective programming

QoS路由策略的双水平-多目标规划模型

The Model of Bilevel - Multiobjective Programming for QoS Routing Protocal

QoS组播路由问题的多目标规划模型研究

A New Multi-Objective Programming Model of Qos-based Multicast Routing Problem

非光滑Fuzzy多目标规划的Fuzzy有效解的Mond-weir型对偶定理

Mond-Weir type Duality for Fuzzy Efficient Solutions in Nonsmooth Fuzzy Multiobjective Programming

多目标规划Pareto最优解的几个充分条件

Several sufficient conditions of Pareto optimum solution of multi objective programming

基于多目标规划的DEA有效性研究

Research on DEA Efficiency Based on Multi-Objective Programming

在此基础上，讨论了评价供应商的DEA模型与多目标规划模型。

Then DEA models and multi-objective linear programming models for vendor selection are compared .

在（F，ρ）s-凸函数的基础上，给出了多目标规划的两个逆对偶定理。

On the basis of ( F ,ρ) _s Convex functions two converse dual theorems of multiobjective programming are given under .

求解多目标规划问题的Pareto多目标遗传算法

A Pareto Multi-Objective Genetic Algorithm for Multi-Objective Programming Problem

讨论多目标规划问题中的有效点集的闭性和Pareto有效解集的闭性问题。

This paper discusses closeness of pareto efficient set and efficient outcome set .

基于多目标规划的DEA

DEA Based on Mutiple Objective Programming

ODE法在多目标规划中的应用

Application of the Method of Ordinary Differential Equations in Multiobjective Programming

针对模型中不确定参数的模糊随机性，利用模糊随机规划的方法和STEP多目标规划方法求解多目标模糊随机规划问题。

Because of the fussy random parameters in the model , approaches of fussy random programming and STEP multi-objects programming are used to solve the multi-objects model with fussy random parameters .

采用VISUALBASIC语言编制电梯群控系统的仿真软件，建立仿真环境，同时嵌入最小等待时间算法和多目标规划算法，进行仿真比较分析。

The least waiting time and multi-objective planning algorithm are embedded in the simulating software and environment which are programmed with Visual Basic . The simulating result proves the superiority of multi-objective planning algorithm .

多目标规划的ak较多有效点与ak较多最优点

Ak - Major Efficient Points and Ak - Major Optimal Points

NoC设计中的映射属于NP问题，而面向能耗和延时的映射求解又属于多目标规划问题。

Meanwhile , energy - and latency - aware mapping problem is a Multiple Objective Programming .

基于QFD的产品多目标规划模型

Multi - Goal Programming Model Based on QFD

广义凸多目标规划的Wolfe型对偶定理

The Wolfe Type Duality in the Generalized Convex Multiobjective Programming

我们利用p级数方法求解多目标规划问题MOP，并用分层法的思想确定权系数。

We use p series method to solve the multi objective programming problem MOP , and put the idea of hierarchy onto the ascertain of function power .

多目标规划Hartley真有效解的对偶性

Duality of multiobjective programming for Hartley proper efficient solution

然后对一般类型的多目标规划问题，定义了Hα-共轭对偶问题，证明了弱对偶定理，并利用Hα-次可微性证明了在一定条件下的强对偶定理。

The H α conjugate duality programming for general multiobjective programming and its weak duality theorem were proposed . Then the strong duality theorem under some conditions was proved using H α subdifferential .