ε-Conjugate maps andε-conjugate duality in vector optimization with set-valued maps
Jia Ji-hong, Zhongfei Li
Abstract
Jia Ji-hong, Zhongfei Li
Abstract
The aim of this article is to develop an approximate (ε)-conjugate duality theory for a general vector optimization problem with set-valued maps on the basis of ε-weak efficiency. We first introduce the concepts of ε-conjugate maps and ε-weak subgradients for set-valued maps and establish several properties of them. Then we introduce an ε-conjugate dual problem for the vector set-valued optimization problem. Finally, we establish a weak duality theorem and a strong duality theorem for the relationship between the primal and the dual problems.
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The aim of this article is to develop an approximate (ε)-conjugate duality theory for a general vector optimization problem with set-valued maps on the basis of ε-weak efficiency. We first introduce the concepts of ε-conjugate maps and ε-weak subgradients for set-valued maps and establish several properties of them. Then we introduce an ε-conjugate dual problem for the vector set-valued optimization problem. Finally, we establish a weak duality theorem and a strong duality theorem for the relationship between the primal and the dual problems.
Key concepts: Conjugate, Mathematics, Duality (order theory), Set (abstract data type), Vector optimization, Dual (grammatical number), Conjugate gradient method, Strong duality