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A preliminary report on the utilization of Galerkin-PSO method for solving interpolation-like problem

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dc.contributor.author Ayu Fitri Yanti
dc.contributor.author Iwan Pranoto
dc.date.accessioned 2023-10-09T07:11:01Z
dc.date.available 2023-10-09T07:11:01Z
dc.date.issued 2012-12
dc.description.abstract The interpolation-like problem discussed in this paper is to search an optimal curve minimizing a functional cost and at the same time interpolating several given points. Instead of solving the optimization problem with constrain directly, we transform the problem into a pure optimization problem, without constrain. After that, the Galerkin Method is used to make the problem finite dimensional one. The problem becomes finding a minimal point and value of a finite dimensional function. The Particle Swarm Optimization (PSO) algorithm is used to minimize this function.
dc.identifier.other https://ejournal.unimap.edu.my/index.php/amci/article/view/49/31
dc.identifier.uri https://hdl.handle.net/20.500.14170/1296
dc.language.iso en
dc.relation.ispartof Applied Mathematics and Computational Intelligence (AMCI)
dc.relation.issn 2289-1315
dc.subject Interpolation
dc.subject Galerkin method
dc.subject Particle swarm optimization
dc.title A preliminary report on the utilization of Galerkin-PSO method for solving interpolation-like problem
dc.type Resource Types::text::journal::journal article
dspace.entity.type Publication
oaire.citation.endPage 62
oaire.citation.issue 1
oaire.citation.startPage 56
oaire.citation.volume 1
oairecerif.author.affiliation Institut Teknologi Bandung
oairecerif.author.affiliation Institut Teknologi Bandung
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