A filter inexact-restoration method for nonlinear programming

• Autor(es): Silva, Cândida Elisa P. ; Monteiro, M. Teresa T.
• Data: 2008
• Identificador Persistente: http://hdl.handle.net/1822/16571
• Origem: RepositóriUM - Universidade do Minho
• Assunto(s): Filter method; Inexact restoration; Line search
• Tipo de Documento: Artigo
• Idioma: Inglês

Descrição

A new iterative algorithm based on the inexact-restoration (IR) approach combined with the filter strategy to solve nonlinear constrained optimization problems is presented. The high level algorithm is suggested by Gonzaga et al. [7] but not yet implemented - the internal algorithms are not proposed. The filter, a new concept introduced by Fletcher and Leyffer [3], replaces the merit function avoiding the penalty parameter estimation and the difficulties related to the nondifferentiability. In the IR approach two independent phases are performed in each iteration - the feasibility and the optimality phases. The line search filter is combined with the first one phase to generate a “more feasible” point and then it is used in the optimality phase to reach an “optimal” point. Numerical experiences with a collection of AMPL problems and a performance comparison with IPOPT are provided.