WEIGHTING METHOD FOR CONVEX VECTOR INTERVAL-VALUED OPTIMIZATION PROBLEMS

被引:0
|
作者
Antczak, Tadeusz [1 ]
机构
[1] Univ Lodz, Fac Math & Comp Sci, Lodz, Poland
关键词
nonlinear vector optimization problem with multiple interval-objective function; weighting method; (weakly) type-I Pareto solution; OPTIMALITY CONDITIONS;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, a nonlinear vector optimization problem with the multiple interval-valued objective function is considered. We use the weighting method for finding its weakly type-I Pareto and type-I Pareto solutions. Therefore, for the considered nonlinear interval-valued multiobjective programming problem, its associated noninterval scalar optimization problem with weights is defined in the aforesaid approach. Then, under appropriate convexity hypotheses, the equivalence between a (weakly) type-I Pareto of the considered nonlinear interval-valued multiobjective programming problem and an optimal solution of its associated noninterval scalar weighting optimization problem is established.
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页码:155 / 162
页数:8
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