Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/55224
Título: | A penalty approach for solving nonsmooth and nonconvex MINLP problems |
Autor(es): | Costa, M. Fernanda P. Rocha, Ana Maria A. C. Fernandes, Edite Manuela da G. P. |
Palavras-chave: | DIRECT MINLP Oracle Penalty function |
Data: | 1-Jan-2018 |
Editora: | Springer |
Revista: | Springer Proceedings in Mathematics and Statistics |
Resumo(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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/55224 |
ISBN: | 9783319715827 |
DOI: | 10.1007/978-3-319-71583-4_4 |
ISSN: | 2194-1009 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Penalty Approach for Nonsmooth and Nonconvex MINLP Problems.pdf | 270,03 kB | Adobe PDF | Ver/Abrir |