Yu Bo
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A genetic algorithm for finding minimal multi-homogeneous Bezout number
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Indexed by:会议论文

Date of Publication:2008-01-01

Included Journals:CPCI-S

Page Number:301-+

Key Words:genetic algorithm; heuristics; polynomial equations; minimal multi-homogeneous Bezout number

Abstract: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.

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Gender:Male

Alma Mater:吉林大学

Degree:Doctoral Degree

School/Department:数学科学学院

Discipline:Computational Mathematics. Financial Mathematics and Actuarial Science

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