基于约束系统度量正则性的参数向量最优化
On Parametric Vector Optimization via Metric Regularity of Constraint Systems
摘要：
研究了广义约束系统的度量正则性和图正则性。然后，应用这些属性，以惩罚（在克拉克的意义上）各种标量和向量最优化问题。该方法给出了实体约束向量最优化的几个必要的最优性条件。
英文摘要：
Some metric and graphical regularity properties of generalized constraint systems are investigated. Then, these properties are applied in order to penalize (in the sense of Clarke) various scalar and vector optimization problems. This method allows us to present several necessary optimality conditions in solid constrained vector optimization.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
