Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/13642
Title: Optimizing radial basis functions by D.C. programming and its use in direct search for global derivative-free optimization
Authors: Le Thi, Hoai An 
Vaz, A. I. F. 
Vicente, L. N. 
Keywords: Global optimization; Derivative-free optimization; Direct-search methods; Search step; Radial basis functions; D.c. programming; DCA
Issue Date: 2009
Publisher: Centro de Matemática da Universidade de Coimbra
Citation: Pré-Publicações DMUC. 09-37 (2009)
Serial title, monograph or event: Pré-Publicações DMUC
Issue: 09-37
Place of publication or event: Coimbra
Abstract: In this paper we address the global optimization of functions subject to bound and linear constraints without using derivatives of the objective function. We investigate the use of derivative-free models based on radial basis functions (RBFs) in the search step of direct-search methods of directional type. We also study the application of algorithms based on difference of convex (d.c.) functions programming to solve the resulting subproblems which consist of the minimization of the RBF models subject to simple bounds on the variables. Extensive numerical results are reported with a test set of bound and linearly constrained problems.
URI: http://hdl.handle.net/10316/13642
Rights: openAccess
Appears in Collections:FCTUC Matemática - Vários

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