Journal
COMPUTERS & MATHEMATICS WITH APPLICATIONS
Volume 62, Issue 2, Pages 566-576Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.camwa.2011.05.031
Keywords
Particle swarm; System; Nonlinear equation; Meta-heuristic
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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. (C) 2011 Elsevier Ltd. All rights reserved.
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