NDLI: Hybrid particle swarm optimization algorithm for solving systems of nonlinear equations

Content Provider	IEEE Xplore Digital Library
Author	Aijia Ouyang Yongquan Zhou Qifang Luo
Copyright Year	2009
Description	Author affiliation: College of Mathematics and Computer Science, Guangxi University for Nationalities, Nanning 53006 China (Aijia Ouyang; Yongquan Zhou; Qifang Luo)
Abstract	A hybrid particle swarm optimization (HPSO) algorithm, which combines the advantages of Nelder-Mead simplex method (SM) and particle swarm optimization (PSO) algorithm, is put forward to solve systems of nonlinear equations, and it can be used to overcome the difficulty in selecting good initial guess for SM and inaccuracy of PSO due to being easily trapped into local optimal. The algorithm has sufficiently displayed the performance of PSO's global searching and SM's accurate local search. Numerical computation results show that the approach has great robust, high convergence rate and precision, it can give satisfactory solutions of nonlinear equations.
Starting Page	460
Ending Page	465
File Size	1061348
Page Count	6
File Format	PDF
ISBN	9781424448302
DOI	10.1109/GRC.2009.5255079
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Nonlinear equations Convergence of numerical methods Birds Educational institutions Mathematics Particle swarm optimization Computer science Information security systems of nonlinear equations Robustness Samarium particle swarm optimization algorithm simplex method
Content Type	Text
Resource Type	Article

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