ACGHSIM:加速共轭Hessian梯度优化算法的仿真工具

Rouhollah Mousavi, A. Mohammadbagheri, R. K. Moghaddam
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引用次数: 0

摘要

本文开发了一个图形用户界面(GUI)“ACGHSIM”,用于模拟加速共轭Hessian优化算法(ACGHES)。ACGHSIM是为了提高对ACGHES算法在求解大规模无约束优化问题中的收敛性和加速性的理解而提供的。ACGHSIM包含73个不同的优化测试函数库。用户可以选择其中一个函数,并模拟ACGHES算法来计算最小值。此外,用户能够应用自己的初始点或使用该应用程序建议的初始点。为了演示ACGHSIM的用户友好特性,给出了一些实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ACGHSIM: A Simulation Tool for Accelerated Conjugate Hessian Gradient Optimization Algorithm
In this article a graphical user interface (GUI), "ACGHSIM" is developed for Simulation the accelerated conjugate Hessian optimization algorithm (ACGHES). ACGHSIM is provided for educational purpose to improve the understanding the convergence and acceleration of ACGHES algorithm in solving large-scale unconstrained optimization problems. ACGHSIM contains a library for 73 different test functions in optimization. The user has option to select one of these functions and simulate the ACGHES algorithm to calculate the minimum. Additionally the users are able to apply themselves initial points or use the suggested initial points by this application. In order to demonstrate the User Friendly features of ACGHSIM, some examples are given.
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