Title :
A Genetic Algorithm for Finding Minimal Multi-homogeneous Bézout Number
Author :
Yan, Dongshu ; Zhang, Jintao ; Yu, Bo ; Luo, Changtong ; Zhang, Shaoliang
Author_Institution :
Dept. of Basic Sci., Jilin Inst. of Archit. & Civil Eng., Changchun
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.
Keywords :
genetic algorithms; polynomials; probability; genetic algorithms; homotopy continuation; multihomogeneous Bezout number problem; numerical method; polynomial equations; probability; Civil engineering; Computer architecture; Equations; Genetic algorithms; Information science; Isolation technology; Large-scale systems; Mathematics; Polynomials; Upper bound; genetic algorithm; heuristics; minimal multi-homogeneous Bezout number; polynomial equations;
Conference_Titel :
Computer and Information Science, 2008. ICIS 08. Seventh IEEE/ACIS International Conference on
Conference_Location :
Portland, OR
Print_ISBN :
978-0-7695-3131-1
DOI :
10.1109/ICIS.2008.38