西北师范大学学报（自然科学版）2012，Vol.48Issue(6)：22-25,4.
多目标随机规划逼近问题有效解集的上半收敛性
The upper semi-convergence of effective solution sets of approximation problems for muiti-objective stochastic programming
摘要
Abstract
This paper introduces minimal information probability metric in duality spaces of unbounded integrable functions family. Under regularity condition of feasible set for original multi-objective stochastic programming problems, a sufficient condition for the upper semi-convergence of approximate effective solution set for multi-objective stochastic programs is given with structure characteristic, when the probability measure sequence is convergence in minimal information probability metric.关键词
多目标随机规划/最小信息概率度量/有效解集/上半收敛性Key words
multi-objective stochastic programming/ minimal information probability metric/ effective solution set/ upper semi-convergence分类
数理科学引用本文复制引用
霍永亮,王俊林,周婉娜..多目标随机规划逼近问题有效解集的上半收敛性[J].西北师范大学学报（自然科学版）,2012,48(6):22-25,4.基金项目
重庆市教委科研基金资助项目(KJ091211) （KJ091211）
