Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11002
Title: A new quadratic semi-infinite programming algorithm based on dual parametrization
Authors: Liu, Y
Teo, KL
Wu, SY
Keywords: Adaptive method
Dual parametrization
Global optimization
Semi-infinite programming
Issue Date: 2004
Publisher: Kluwer Academic Publ
Source: Journal of global optimization, 2004, v. 29, no. 4, p. 401-413 How to cite?
Journal: Journal of global optimization 
Abstract: The so called dual parameterization method for quadratic semi-infinite programming (SIP) problems is developed recently. A dual parameterization algorithm is also proposed for numerical solution of such problems. In this paper, we present and improved adaptive algorithm for quadratic SIP problems with positive definite objective and multiple linear infinite constraints. In each iteration of the new algorithm, only a quadratic programming problem with a limited dimension and a limited number of constraints is required to be solved. Furthermore, convergence result is given. The efficiency of the new algorithm is shown by solving a number of numerical examples.
URI: http://hdl.handle.net/10397/11002
ISSN: 0925-5001
EISSN: 1573-2916
DOI: 10.1023/B:JOGO.0000047910.80739.95
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