Multiobjective duality for convex semidefinite programming problems

被引:0
|
作者
Wanka, G [1 ]
Bot, RI
Grad, SM
机构
[1] TU, Fac Math, D-09107 Chemnitz, Germany
[2] Univ Babes Bolyai, Fac Math & Comp Sci, RO-3400 Cluj Napoca, Romania
来源
关键词
multiobjective duality; semidefinite programming; convex optimization; Pareto efficiency;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We treat some duality assertions regarding multiobjective convex semi-definite programming problems. Having a vector minimization problem with convex entries in the objective vector function, we establish a dual for it using the so-called conjugacy approach. In order to deal with the duality assertions between these problems we need to study the duality properties and the optimality conditions of the scalarized problem associated to the initial one. Using these results we present the weak, strong and converse duality assertions regarding the primal problem and the dual we obtained for it.
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页码:711 / 728
页数:18
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