vector optimization
英 [ˈvektə(r) ˌɒptɪmaɪˈzeɪʃn]
美 [ˈvektər ˌɑːptɪməˈzeɪʃn]
网络 向量优化; 向量最适化; 矢量优化
双语例句
- Up Semi-continuous of the Ideal Solutions of Vector Optimization Problems with Set-valued Maps
集值映射向量优化问题理想解的上半连续性 - Benson proper efficiency in vector optimization with set-valued maps
集值向量优化的Benson真有效性 - Lagrangian Dual Problem in Linear Vector Optimization of Set-Value Constraint
集值约束的线性向量优化中的拉格朗日对偶问题 - The Characterization of Strong-Efficient Solution of Set-Valued Vector Optimization with Generalized Gradient
用广义梯度刻画集值优化的强有效解调强放射治疗中强度分布优化方法的研究 - Essential Solutions and Essential Components of the Solution Set of Infinite Dimensional Vector Optimization Problems
无穷维向量优化问题的本质解及解集的本质连通区 - The vector optimization problems being of set-valued objective and constraint functions are considered.
讨论了目标函数及约束函数均为集值映射的向量最优化问题。 - Optimality Conditions for a kind of Set-Valued Vector Optimization of Maps
一类集值映射向量优化问题的最优性条件 - Connectivity of the Henig Proper Efficient Point ( Solution) Set for Vector Optimization
向量优化的Henig真有效点（解）集的连通性 - A Property of Generalized Strictly Efficient Solutions for Vector Optimization Problems
向量优化问题广义严格有效解的一个性质 - Super efficient point in vector optimization problems with set-valued maps characterized by generalized saddle point;
本文研究集值优化问题严有效解的广义鞍点刻画问题。 - Feature Vector Optimization in Face Recognition
人脸识别中的特征向量优化算法研究 - Under the condition that the objective mapping is cone quasiconvex, we prove the connectedness of the set of super efficient solutions to vector optimization.
证明了目标映射为锥拟凸的向量优化问题的超有效解集是连通的。 - On Some Aspects of Duality and Stability in Vector Optimization
向量优化中的若干对偶和稳定性研究 - And finally, the optimality conditions are obtained for set-valued vector optimization problems in a sense of weak efficient solutions by applying the theorem.
运用此定理获得了弱有效解意义下的集值向量优化问题的最优性条件。 - The Properties of Weak Effective Solution of Vector Optimization Problems of Set Valued Mapping
集值映射向量优化问题弱有效解的性质 - Some characterizations of efficient and strictly efficient solutions of set-valued vector optimization problems
集值向量优化问题有效解和严格有效解的一些刻画 - ε-Properly Efficient Solutions of Vector Optimization Problems with Set-Valued Maps in Linear Spaces
线性空间中集值映射向量优化问题的ε-真有效解 - Cone Characterizations about Efficient Points and Efficient Solutions of Vector Optimization Problems with Set-Valued Maps
集合的有效点和集值优化问题有效解的锥刻画 - Study of vector optimization with control parameters
带有控制参量的向量优化问题研究 - Based on the second, a direct method of vector optimization for multiobjective dynamic programming is presented.
在第2个结论的基础上，提出了多目标动态规划向量优化直接算法。 - Finally, we give some applications of ( IVEP) to vector variational inequality problems and vector optimization problems.
最后在第五节里，我们举出了一些隐式向量均衡问题（IVEP）应用到向量变分不等式问题和向量优化问题的例子。 - The vector optimization problems with control parameters in topological vector spaces are considered.
在拓扑向量空间中，考虑了带有控制参量的向量优化问题。 - In linear topological spaces, we study the geometric properties of ε-efficient solutions for general vector optimization problems.
本文对线性拓扑空间中一般向量极值问题的ε-有效解的几何性质进行了研究，得到了几个定理； - The Mond_Weir duality for generalized vector optimization is dealt with in this paper. This paper proves the theorems on weak duality between primary problem and dual problem, direct duality and inverse duality.
对广义向量最优化问题建立了Mond＿Weir型对偶，证明了原问题和对偶问题之间的弱对偶定理、直接对偶定理和逆对偶定理。 - Variational Models and Set-valued Analysis in Vector Optimization
向量优化中的变分模型与集值分析 - In this paper, we define the generalized efficient solution and prove the existence of the generalized efficient solution for nondifferentiable vector optimization problems by using set-valued mapping vector quasi-variational inequalities.
文中定义了广义有效解，并利用集值映射向量似变分不等式证明了不可微向量优化问题的广义有效解的存在性。 - First, we introduced the theory of vector optimization and approach to get noninferior solution.
首先我们给出了向量优化的基础理论和求解非劣集的主要方法。 - As an application, the dual forms of various superefficient points are given for vector optimization problems.
作为它的应用，给出了向量优化问题多种超有效点的对偶形式。 - The main content of this paper is the research of synergetic neural network model and the prototype vector optimization.
本文围绕协同神经网络模型、原型向量的优化等方面进行了研究。 - Then, we introduce a mixed vector equilibrium problem ( MVEP) and an equivalent vector optimization problem.
其次，引入了一种混合向量平衡问题（MVEP），并建立了与该混合向量平衡问题等价的向量优化问题。