We propose two algorithms achieving generalized arc consistency for the soft global cardinality constraint with variable-based violation and with value-based violation. They are based on graph theory and their complexity is O(√nm) where n is the number of variables and m is the sum of the cardinalities of the domains. They improve previous algorithms that ran respectively in O(n(m + n log n)) and O((n + k)(m + n log n)) where k is the cardinality of the union of the domains.

A. Zanarini, M. Milano, G. Pesant (2006). Improved algorithm for the soft global cardinality constraint.

Improved algorithm for the soft global cardinality constraint

MILANO, MICHELA;
2006

Abstract

We propose two algorithms achieving generalized arc consistency for the soft global cardinality constraint with variable-based violation and with value-based violation. They are based on graph theory and their complexity is O(√nm) where n is the number of variables and m is the sum of the cardinalities of the domains. They improve previous algorithms that ran respectively in O(n(m + n log n)) and O((n + k)(m + n log n)) where k is the cardinality of the union of the domains.
2006
Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
288
300
A. Zanarini, M. Milano, G. Pesant (2006). Improved algorithm for the soft global cardinality constraint.
A. Zanarini; M. Milano; G. Pesant
File in questo prodotto:
Eventuali allegati, non sono esposti

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/11585/29363
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 10
  • ???jsp.display-item.citation.isi??? 7
social impact