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dc.contributor.authorYahya, Abu Hasan
dc.date.accessioned2010-11-23T03:23:16Z
dc.date.available2010-11-23T03:23:16Z
dc.date.issued2010-06-02
dc.identifier.citationVol.1(3), p.44-47en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/10261
dc.description1st 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.en_US
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010en_US
dc.subjectNonlinear equationsen_US
dc.subjectMultiobjective optimizationen_US
dc.subjectParticle swarm optimizationen_US
dc.subjectRegional Conference on Applied and Engineering Mathematics (RCAEM)en_US
dc.titleSolving a system of nonlinear equations by particle swarm optimizationen_US
dc.typeWorking Paperen_US
dc.publisher.departmentInstitut Matematik Kejuruteraanen_US
dc.contributor.urlahyahya@cs.usm.myen_US


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