Please use this identifier to cite or link to this item: http://hdl.handle.net/10198/7531
Title: Interior point filter method for semi-infinite programming problems
Authors: Pereira, Ana I.
Costa, M. Fernanda
Fernandes, Edite M.G.P.
Keywords: Nonlinear optimization
Semi-infinite programming
Interior point method
Filter method
Line search technique
Issue Date: 2011
Publisher: Taylor & Francis
Citation: Pereira, Ana I.; Costa, M. Fernanda; P.; Fernandes, Edite M.G.P. (2011) - Interior point filter method for semi-infinite programming problems. Optimization. ISSN 0233-1934. 60:10-11, p. 1309-1338.
Abstract: Semi-infinite programming (SIP) problems can be efficiently solved by reduction-type methods. Here, we present a new reduction method for SIP, where the multi-local optimization is carried out with a stretched simulated annealing algorithm, the reduced (finite) problem is approximately solved by a Newton’s primal–dual interior point method that uses a novel twodimensional filter line search strategy to guarantee the convergence to a KKT point that is a minimizer, and the global convergence of the overall reduction method is promoted through the implementation of a classical two-dimensional filter line search. Numerical experiments with a set of well-known problems are shown.
Peer review: yes
URI: http://hdl.handle.net/10198/7531
Publisher Version: http://www.tandfonline.com/doi/pdf/10.1080/02331934.2011.616894
Appears in Collections:DEMAT - Artigos em Revistas Indexados ao ISI/Scopus

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