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集值映射向量优化问题的ε-超鞍点和ε-对偶定理
引用本文:凌晨.集值映射向量优化问题的ε-超鞍点和ε-对偶定理[J].运筹学学报,2002,6(1):53-60.
作者姓名:凌晨
作者单位:浙江财经学院信息学院,杭州,310012
摘    要:本文研究集值映射向量优化问题的ε-超鞍点和ε-对偶定理。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。

关 键 词:向量优化问题  ε-超有效解  ε-对偶定理  集值映射  近似广义锥似凸  ε-超鞍点

ε-Super Saddle Points and ε-Duality Theorems of Vector Optimization Problems with Set-Valued Maps
Abstract.ε-Super Saddle Points and ε-Duality Theorems of Vector Optimization Problems with Set-Valued Maps[J].OR Transactions,2002,6(1):53-60.
Authors:Abstract
Abstract:This paper establishes and proves the saddle points and duality theorems for ε-superefficient 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.
Keywords:Set-valued maps  nearly generalized conesubconvexlikeness  e-super saddle point
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