第五和第六章考虑多目标最优化的几个理论问题。
In Chapter 5 and 6, we study a few theoretical problems in multiobjective optimization.
在给定了一族参数的多目标最优化问题中，灵敏度分析是定量的分析。
In the problems of a given family of parametrized multiobjective optimization, sensitivity analysis is the quantitative analysis.
并采用多目标最优化的一阶分析法来进行桁架拱桥的形状控制及构件尺寸确定。
This paper researches into the analysis method about steel truss arch bridge based on multi-objective optimization.
本文提出一类含参数的带参考指标的多目标最优化模型和关于这类模型的几个解的概念。
In this paper, we propose a multiobjective optimization model with reference criteria and parameter and the concepts of some a-efficient solutions with reference criteria for this model.
进化算法作为处理复杂函数最优化、多目标最优化问题的一种有效算法，正日益受到人们的重视。
Evolutionary algorithm is one of the most effective algorithms for hard optimization and multi-objective optimization problems, which are attached more and more importance to.
在此基础上，得到了向量目标函数既是似凸又是拟凸的多目标最优化问题的G-恰当有效解集是连通的结论。
On the conditions that vector objective function is like-convex and quasi-convex, we obtain the connectedness of G-proper efficient solution set of the multiobjective optimization problem.
提出了多工位级进模工步设计的多目标最优化组合的数学模型、通用算法以及建立其CAD系统的实现方法。
The mathematics model of multiobjective optimum combination, good algorithms and CAD system for strip layout of multistep progressive die are given in this paper.
针对这一问题，建立了以起升机构占用空间最小和行星齿轮减速机构用材最少为目标的多目标最优化数学模型。
Aim at the problem, this paper establishes the mathematical model of multipurpose optimization to made hoisting mechanism to occupy minimum space and planet gear to use minimum material.
进化算法作为处理复杂函数最优化、全局最优化和多目标最优化问题的一种有效算法，正日益受到人们的重视。
Evolutionary algorithms are one of the effective algorithms for hard optimization, global optimization and multiobjective optimization problems, which are attached more and more importance to.
讨论凸多目标最优化问题的严有效解，建立了拉格朗日乘子定理，并把严有效解表示为一个适当的拉格朗日函数的鞍。
We establish a Lagrange multiplier theorem for strict efficiency in convex settings and express strict points as saddle points of an appropriate Lagrangian function.
最优化也包括解决大规模，离散，非线性，多目标和全球化问题的技术。
Optimization also involves techniques for solving large-scale, discrete, nonlinear, multiobjective, and global problems.
研究了漏检情况下多传感器多目标检测中的数据关联问题，并将其描述为数学规划中组合最优化问题。
This paper studies the problem of data association in multisensor multitarget detection under the condition of leakage and describes it as combinatorial optimization in mathematical programming.
为了使作物生长模型中的参数最优化，提出了一种改进型非线性最小二乘法在作物生长模型中隐含参数估计的应用技术，针对多目标项的情况提出了权矩阵的自动计算方法。
In order to optimize the parameters in a crop growth simulation model, a new method based on nonlinear least squares method was developed for estimation of hidden parameters of crop growth.
多目标遗传优化算法的一个优点就是可在一次迭代计算中寻找到问题的多个非劣最优解。
One advantage of multi-objective genetic optimization algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their single run.
利用试验仿真方法采取多目标多因素优化方式，得出了最优的前悬架结构参数，优化了前悬架的运动学特性。
Test simulation was used to derive the optimal structural parameters and optimize the kinematics of the suspension by a multi-objective and multi-variable optimization.
文章采用多目标决策法进行近水平煤层矿井设计的最优化。
This paper demonstrates the optimization of the nearly flat seam underground coal mine planning by the multi-objective decision-making method.
介绍了用于最优设计的数学模型，给出了各种流型下径—轴流涡轮的单目标和多目标优化分析的一些结果。
The mathematical model for optimization and some analytical results of single- and multi-objective optimization for a variety of twisted blades are also presented in this paper.
最后在关联代价全局最优化框架下，将两者匹配结果融合，以提高多目标跟踪的正确率。
Under the global optimal association cost frame, fusion of above two matches is realized to improve the accuracy of tracking, which can resolve the complex multitarget tracking problem availably.
最后在关联代价全局最优化框架下，将两者匹配结果融合，以提高多目标跟踪的正确率。
Under the global optimal association cost frame, fusion of above two matches is realized to improve the accuracy of tracking, which can resolve the complex multitarget tracking problem availably.
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