向量集值优化问题的强有效性
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摘要
当目标函数和约束函数都是弧连通锥凸时,借助方向导数,利用择一性定理给出了约束向量优化问题取得强有效解的必要条件.利用强有效点的标量化定理给出了向量优化问题取得强有效解的Kuhn-Tucker最优性充分条件.引进了集值映射的强次梯度,并证明了强次梯度的存在性.作为应用,给出了带约束集值优化问题取得强有效元的充分条件和必要条件,得到了集值优化问题在强有效意义下的新刻画.
When both the objective function and constrained function are arc wise connected cone-convex functions, with directional derivative and alternative theorem, the necessary conditions are obtained for constrained vector-valued optimization problem to obtain its strongly efficient solutions. By using scalarization theorem for the strong efficient point, Kuhn-Tucker sufficient optimality condition is obtained for vector-valued optimization problem to obtain its strongly efficient solutions. And the strong-subgradient for set-valued map is introduced, whose existence theorem is proved. An equivalent depiction of the strong-subgradient is presented. As applications, the sufficient and necessary conditions for the set-valued optimization problem with constraint to attain its strongly efficient elements are given.
引文
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