个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:吉林大学
学位:博士
所在单位:数学科学学院
学科:计算数学. 金融数学与保险精算
电子邮箱:yubo@dlut.edu.cn
A genetic algorithm for finding minimal multi-homogeneous Bezout number
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论文类型:会议论文
发表时间:2008-01-01
收录刊物:CPCI-S
页面范围:301-+
关键字:genetic algorithm; heuristics; polynomial equations; minimal multi-homogeneous Bezout number
摘要:Homotopy continuation is a most efficient numerical method for finding all isolated solutions of system of polynomial equations, and finding minimal multi-homogeneous Bezout number is a basic problem of homotopy continuation. This paper presents a problem-specific genetic algorithm for finding minimal multi-homogeneous Bezout number The algorithm is easy to implement and easy to be parallelized for large scale problems. It can find the minimal multi-homogeneous Bezout number in probability 1. Numerical results indicate that the proposed algorithm is reliable and efficient. The algorithm offers a competitive alternative for minimal multi-homogeneous Bezout number problem. Meanwhile, it extends the application fields of genetic algorithms.