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一类不可微凸多目标规划解的最优性充分条件 被引量:2

Sufficient Optimality Conditions for a Class of Nondifferentiable Convex Multiobjective Programming
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摘要 利用C larke广义梯度,广义次微分将B-凸函数进行推广,给出了正则Lipschitz B-凸等函数的概念,在此基础上我们得到了一类不可微凸多目标规划解的最优性充分条件。 B-vex functions are extended by using the Clarke generalized gradient,generalized sub-differentiable.The definition of the regular Lipschitz B-vex functions are given.Under the above generalized convexity assumption,sufficient optimality conditions for nondifferentiable multiobjective programming are obtained.
作者 姜艳 张庆祥
出处 《延安大学学报(自然科学版)》 2010年第1期17-21,共5页 Journal of Yan'an University:Natural Science Edition
基金 陕西省教育厅专项科研基金资助(06JK152)
关键词 多目标规划 最优性充分条件 正则LipschitzB-凸函数 正则LipschitzB-不变凸函数 multiobjective programming sufficient optimality conditions regular Lipschitz B-vex function regular Lipschitz B-Invex function
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