沿负梯度方向求共轭方向的四种搜索方法

D. Hu, Xiaoli Yin, Chunming Li
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引用次数: 0

摘要

为了寻找更好的共轭方向,分析了六搜索法和三搜索法的优化效果。由于初始点的任意性,放弃了沿负梯度方向的第一个优化过程。提出了四种搜索方法。每个最佳或最优点都是下一个优化的初始点。沿负梯度方向连续搜索三次后,将第二次和第三次优化得到的共轭方向作为第四个搜索方向。也就是说,每个循环中有四个搜索方向。给出了实现步骤、有效的数学证明和程序流程图。以三个变量的二次函数和两个变量的Rosenbrock函数作为目标函数对方法进行了验证。两个算例证明了4搜索方法对复杂目标函数的有效性。因此,四搜索法是一种较好的共轭方向法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Four Search Method Obtaining the Conjugating Direction Along the Negative Gradient Directions
To find a better conjugate direction, the optimization effect of six search (six-seeking) and three search method are analyzed. Because of the arbitrariness of the initial point, the first process of optimizing along the negative gradient direction is abandoned. The four search method is put forward. Each best or optimal point is the initial point of the next optimization. After three time of consecutive searches along the negative gradient directions, take the conjugate direction obtained from the second and the third optimization as the fourth search direction. That is, there are four search directions in each loop. The steps, valid mathematical proof, and program flow chart are given. A quadratic function with three variables and Rosenbrock function with two variables are used as the objective functions to verify the methods. Two examples prove the validity of the 4 search method to complex objective function. Therefore, the four search method is a better conjugate direction method.
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