1) ε-strongly efficient solutions
ε-强有效解
1.
In locally convex Hausdorff topological vector spaces,ε-strongly efficient solutions for vector optimization problems are discussed.
在局部凸 Hausdorff 拓扑向量空间中,讨论了向量优化问题的ε-强有效解。
2) ε-efficient solution
ε-有效解
1.
In this paper,we provide a necessary condition for ε-efficient solutions of Multiobjective Programming(MOP),we mainly study six well-know scalarization methods for the MOP and establish the corresponding relationships between ε-efficient solutions and ε-optimal solutions when solving(MOP) and scalarized problem(SOP
考虑多目标优化问题中ε-有效解存在的必要条件。
3) ε-strong efficiency
ε-强有效点
1.
In this paper, we introduce and research systematically ε- strict efficiency and ε- strong efficiency of vector optimization with set-valued maps in locally convex topological spaces.
首先，得到了凸集A的ε-严有效点集和ε-强有效点集的标量化特征，连通性及它们在ε-有效点集中的稠密性结果。
4) ε-super efficient solution
ε-超有效解
1.
In locally convex linear topological spaces,the ε-super efficient solution for vector optimization with set-valued maps was introduced.
通过在局部凸拓扑线性空间中引进集值映射向量优化问题的ε-超有效解,在集值映射为内部锥类凸的假设下,利用凸集分离定理建立了关于ε-超有效解的标量化定理,并利用择一定理得到ε-Lagrange乘子定理。
2.
In this paper,we study the connectedness of ε-super efficient solution set of vector optimization set-value mapping in normed linear spaces.
研究了赋范线性空间中集值向量优化问题ε-超有效解集的连通性,并证明了目标映射为锥拟凸的向量优化问题的ε-超有效解集是连通的。
3.
This paper establishes and proves the saddle points and duality theorems for ε-super efficient solution of vector optimization with set-valued maps, under the assumption that the set-valued maps is nearly generalized cone-subconvexlike, by utilizing the scalarization and Lagrange multiplier theorem for ε-super efficient solution.
在集值映射是近似广义锥次似凸的假设下,利用ε-超有效解的标量化和Lagrange乘子定理,建立和证明了关于ε-超有效解的鞍点和对偶定理。
5) ε-strict efficient solutions
ε严有效解
1.
In locally-convex topological vector spaces, ε-strict efficient points and ε-strict efficient solutions are introduced.
在局部凸拓扑向量空间中引入了ε严有效点、ε严有效解的概念。
6) ε-weak efficient solution
ε弱有效解
补充资料：半强式有效市场
半强式有效市场——
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