二阶微分方程方法求解带不等式约束的优化问题
Second-Order Differential Equation Method for Solving Optimization Problems with Inequality Constraints
摘要: 针对只含有不等式约束的优化问题,本文首先给出了其Karush-Kuhn-Tucker (KKT)条件,并利用光滑互补函数将KKT系统转化为一类光滑的方程组问题;其次,将光滑方程组问题转化为无约束优化问题;最后,本文提出一类二阶微分方程系统求解无约束优化问题,并讨论了二阶微分方程系统的解的稳定性及收敛速度。
Abstract: For optimization problems with only inequality constraints, this paper first presents their Karush-Kuhn-Tucker (KKT) conditions, and uses smooth complementarity functions to transform the KKT system into a class of smooth system of equations problems. Secondly, this article transforms the problem of smooth equation systems into an unconstrained optimization problem. Finally, this article proposes a class of second-order differential equation systems for solving unconstrained optimization problems, and discusses the stability and convergence speed of the solutions of second-order differential equation systems.
文章引用:李思怡, 姜莹, 宁文琪, 任泓燃. 二阶微分方程方法求解带不等式约束的优化问题[J]. 理论数学, 2024, 14(12): 1-6. https://doi.org/10.12677/pm.2024.1412399

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