Article ID: | iaor20117188 |
Volume: | 62 |
Issue: | 2 |
Start Page Number: | 566 |
End Page Number: | 576 |
Publication Date: | Jul 2011 |
Journal: | Computers and Mathematics with Applications |
Authors: | Khorram Esmaile, Karimi Behrooz, Jaberipour Majid |
Keywords: | algebra, Particle swarm optimization |
Solving systems of nonlinear equations is one of the most difficult problems in all of numerical computation and in a diverse range of engineering applications. Newton’s method for solving systems of nonlinear equations can be highly sensitive to the initial guess of the solution. In this study, a new particle swarm optimization algorithm is proposed to solve systems of nonlinear equations. Some standard systems are presented to demonstrate the efficiency of this method.