Minimization of two bar bracket optimization problem through derivative free methods

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dc.contributor.authorSadaf, S.
dc.contributor.authorM. F. Tabassum
dc.contributor.authorA. Sana
dc.contributor.authorN. A. Shahid
dc.contributor.authorN. A. Chaudhry
dc.contributor.authorM. Saeed
dc.date.accessioned2016-10-04T11:33:11Z
dc.date.available2016-10-04T11:33:11Z
dc.date.issued2015
dc.description.abstractThe purpose of this exploration is to construct optimization models of two bar bracket alongside stress constraints. The derivative free methods Nelder-Meed Method, Hooke-Jeeve Method and Multidirectional Search Methods are used to solve model. Penalty functions are used to eliminate constraints. Then constrained optimization model is changed into unconstrained model. Finally discuss the comparison and efficiency of these methods through MATLAB Programming.en_US
dc.identifier.citationSadaf, S., Tabassum, M., Sana, A., Shahid, N., Chaudhry, N., & Saeed, M. (2015). Minimization of two bar bracket optimization problem through derivative free methods. Science International, 27(6), 6153-6156.en_US
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/1998
dc.publisherScience Internationalen_US
dc.subjectderivative free methodsen_US
dc.subjectpenalty functionen_US
dc.subjectunconstrained optimizationen_US
dc.subjectstructural optimization problemen_US
dc.titleMinimization of two bar bracket optimization problem through derivative free methodsen_US
dc.typeArticleen_US
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