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multiobjective相关的网络例句

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The variational convergence of real function sequence is extended to vector function sequence and the lower semicontinuity of approximating set of weak Pareto solutions of a given multiobjective decision making problem with general constraint set is obtained by using the variational convergence.

本文将函数序列的v-收敛性推广到向量值函数,在v-收敛性的条件下得到了给定的多目标决策问题的近似弱有效解集的下半连续性并给出了若干容易验证的充分条件。

Via connecting the maximal module ideal point algorithm with the power coefficient under Kuhn-Tucker condition, the bilevel multiobjective programming problem is changed to a singular-level singular-objective constraint programming problem.

给出双层多目标决策问题数学模型的一种解决方法,把带权极大模理想点法和Kuhn-Tucker条件结合起来,从而把双层多目标规划问题转化为单层单目标约束规划问题,进而求得原问题的弱有效解。

In order to solve the multiobjective flexible decision problem, this paper presents the interactive maximin method.

为解决柔性决策问题,本文采用了maximin方法、集包含方法、交互式方法和区间分析方法。

Based on the concept of flexible decision, this paper studies 3 problems. They are multiobjective decision making, resource allocation and one kind of cooperative game. In order to solve the flexible decision problem, the methods used in this paper include maximin method, set inclusion method, interactive method and interval analysis method.

本文提出了符合客观决策问题的柔性决策的概念,并把柔性决策的思想贯穿于三方面问题的研究,即多目标决策问题、资源分配问题和一类合作协商对策问题。

This method consists of two parts as follows:(1) The maximin method of multiobjective flexible decision. There are many existing algorithms that solve the maximin or minimax programming without constraint or with linear constraints.

为解决这样的问题,本文提出的柔性决策方法把大系统分解协调方法和激励控制方法结合起来,这种方法包括以下两部分内容: 1。

We study a kind of efficient approximation method: maximum entropy method for multiobjective minimax problems from the point view of numerical computation.

本文从数值计算的角度对求解多目标minimax问题的一种有效的逼近方法:极大熵方法进行了研究。

Multiobjective ; fuzzy optimization ; dynamic programming ; multistage series sys-tems

多目标;模糊优选;动态规划;多级串联系统

This is a new method for solving the optimization of multiobjective and multistage problems in chemical systems.

为解决化工系统中的多目标多阶段优化问题提供一条新路。

Chapter 1, introduction, which summarizes the literature and the development about the theory and application of stochastic DP and multiobjective DP, views the two basic concepts of DP which are optimality principle and Markvian.

第一章导言,综述了动态规划主要是随机动态规划和多目标动态规划的发展及现状,评述了动态规划中两个基本概念"无后效性"和"最优化原理"。

And multiobjective optimization of complex structure with the help of neural networks and uniform experiment design, etc. As an example to illustrate the theory of this thesis, Robust design of a 10m antenna reflection part with circular paraboloid surface is proceeded. Antenna attracted people's research in these years because it is structure with very high precision.

作为实例,论文中对某10m圆抛物面天线反射体进行了健壮性设计,得到了原问题的健壮最优解,不仅实现了原系统的性能优化,同时使天线的性能在受到可控因素较大的范围的变异时所产生的变异达到最小,实现了系统的健壮性。

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