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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/10261

Title: Solving a system of nonlinear equations by particle swarm optimization
Authors: Yahya, Abu Hasan
???metadata.dc.contributor.url???: ahyahya@cs.usm.my
Keywords: Nonlinear equations;Multiobjective optimization;Particle swarm optimization;Regional Conference on Applied and Engineering Mathematics (RCAEM)
Issue Date: 2-Jun-2010
Publisher: Universiti Malaysia Perlis (UniMAP)
???metadata.dc.publisher.department???: Institut Matematik Kejuruteraan
Citation: Vol.1(3), p.44-47
Series/Report no.: Proceedings of the 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010
Abstract: The solution of a system of nonlinear equations is a difficult problem in numerical computation. For many numerical approaches, the convergence and performance characteristics can be highly sensitive to the initial guess of the solution being used in the methods. However, it is not easy to select a good initial guess for most systems of nonlinear equations. In this paper we look at the problem from a multi objective optimization problem and use particle swarm optimization to solve the problem. Comparisons are made with other recent techniques to show its competitiveness.
Description: 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang.
URI: http://hdl.handle.net/123456789/10261
Appears in Collections:Conference Papers

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