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Performance evaluation of an interior point filter line search method for constrained optimization

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Detalhes bibliográficos
Resumo:Here we present a performance evaluation of three versions of a primal-dual interior point filter line search method for nonlinear programming. Each entry in the filter relies on three components, the feasibility, centrality and optimality, that are present in the first-order optimality conditions. The versions differ in a set of acceptance conditions that are used to consider a trial iterate to be acceptable to the filter. Performance profiles are used to compare the obtained numerical results in terms of the number of iterations and the number of the optimality measure evaluations.
Autores principais:Costa, M. Fernanda P.
Outros Autores:Fernandes, Edite Manuela da G. P.
Assunto:nonlinear optimization interior point method filter line search method performance profiles
Ano:2007
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
Resumo:Here we present a performance evaluation of three versions of a primal-dual interior point filter line search method for nonlinear programming. Each entry in the filter relies on three components, the feasibility, centrality and optimality, that are present in the first-order optimality conditions. The versions differ in a set of acceptance conditions that are used to consider a trial iterate to be acceptable to the filter. Performance profiles are used to compare the obtained numerical results in terms of the number of iterations and the number of the optimality measure evaluations.