安徽大学学报（自然科学版）2025，Vol.49Issue(1)：1-7,7.DOI:10.3969/j.issn.1000-2162.2025.01.001
基于全局和声搜索算法的椭圆拟合
Ellipse fitting based on global harmony search algorithm
摘要
Abstract
A constrained optimization model for ellipse fitting problem was established,and a constraint processing method was presented by using absolute value function.The original problem was transformed into unconstrained optimization and solved by global harmony search algorithm.Numerical experiments were carried out to study the ellipse fitting problem of long axis and short axis on coordinate axis and long axis and short axis not on coordinate axis respectively.The results showed that the fitting results were good even if there was noise in the data without outliers.关键词
椭圆拟合/绝对值函数/约束优化/全局和声搜索算法Key words
ellipse fitting/absolute value function/constrained optimization/global harmony search algorithm分类
数理科学引用本文复制引用
雍龙泉,张媛媛,黎延海..基于全局和声搜索算法的椭圆拟合[J].安徽大学学报（自然科学版）,2025,49(1):1-7,7.基金项目
国家自然科学基金资助项目(11401357) （11401357）
陕西省自然科学基础研究计划项目(2024JC-YBMS-014) （2024JC-YBMS-014）
陕西省教育厅青年创新团队项目(23JP024) （23JP024）
陕西理工大学科研项目(SLGNL202409) （SLGNL202409）
