Title :
An approximate factorization of multivariate polynomials using improved PSO
Author :
Ningxin, Xie ; Yangquan, Zhou
Author_Institution :
Coll. of Inf. Sci. & Eng., Guangxi Univ. for Nat., Nanning, China
Abstract :
In order to avoid the premature convergence of the Particle Swarm Optimization (PSO) algorithm, a modified PSO algorithm is proposed. As an example, the improved algorithm is used for an approximate factorization of multivariate polynomials and the experiment result has proved its efficiency. The method in this paper may be as certain generalization of an precise factorization of multivariate polynomials.
Keywords :
particle swarm optimisation; polynomials; approximate factorization; improved PSO algorithm; improved particle swarm optimization algorithm; multivariate polynomials; premature convergence; Approximation algorithms; Particle Swarm Optimization; approximate factorization; multivariate polynomials;
Conference_Titel :
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location :
Xi´an, Shaanxi
Print_ISBN :
978-1-4673-1410-7
DOI :
10.1109/CSIP.2012.6309064