We address a particular class of bilevel linear programming problems in which all the variables are discrete. The main computational complexities are analyzed and two enhanced exact algorithms are proposed. The rationale behind these two algorithms is described and a modified version is presented for both. A common test bed is used to assess their computational efficiency along with a comparison with an existing benchmark algorithm.

Caramia, M., Mari, R. (2015). Enhanced exact algorithms for discrete bilevel linear problems. OPTIMIZATION LETTERS, 9(7), 1447-1468 [10.1007/s11590-015-0872-9].

Enhanced exact algorithms for discrete bilevel linear problems

CARAMIA, MASSIMILIANO;
2015-01-01

Abstract

We address a particular class of bilevel linear programming problems in which all the variables are discrete. The main computational complexities are analyzed and two enhanced exact algorithms are proposed. The rationale behind these two algorithms is described and a modified version is presented for both. A common test bed is used to assess their computational efficiency along with a comparison with an existing benchmark algorithm.
2015
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore MAT/09 - RICERCA OPERATIVA
English
Con Impact Factor ISI
Bilevel linear programming; Discrete bilevel linear problems; Exact methods; Cutting planes; Branch and cut
Caramia, M., Mari, R. (2015). Enhanced exact algorithms for discrete bilevel linear problems. OPTIMIZATION LETTERS, 9(7), 1447-1468 [10.1007/s11590-015-0872-9].
Caramia, M; Mari, R
Articolo su rivista
File in questo prodotto:
File Dimensione Formato  
OPTL_2015_Enhanced.pdf

solo utenti autorizzati

Licenza: Copyright dell'editore
Dimensione 857.76 kB
Formato Adobe PDF
857.76 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/116418
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 30
  • ???jsp.display-item.citation.isi??? 26
social impact