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TitleA penalty approach for solving nonsmooth and nonconvex MINLP problems
Author(s)Costa, M. Fernanda P.
Rocha, Ana Maria A. C.
Fernandes, Edite Manuela da G. P.
Penalty function
Issue date1-Jan-2018
JournalSpringer Proceedings in Mathematics and Statistics
Abstract(s)This paper presents a penalty approach for globally solving nonsmooth and nonconvex mixed-integer nonlinear programming (MINLP) problems. Both integrality constraints and general nonlinear constraints are handled separately by hyperbolic tangent penalty functions. Proximity from an iterate to a feasible promising solution is enforced by an oracle penalty term. The numerical experiments show that the proposed oracle-based penalty approach is effective in reaching the solutions of the MINLP problems and is competitive when compared with other strategies.
TypeConference paper
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings
CMAT - Artigos em atas de conferências e capítulos de livros com arbitragem / Papers in proceedings of conferences and book chapters with peer review

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