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Local search inequalities

LANCIA, Giuseppe
•
RINALDI, Franca
•
SERAFINI, Paolo
2015
  • journal article

Periodico
DISCRETE OPTIMIZATION
Abstract
We describe a general method for deriving new inequalities for integer programming formulations of combinatorial optimization problems. The inequalities, motivated by local search algorithms, are valid for all optimal solutions but not necessarily for all feasible solutions. These local search inequalities can help in either pruning the search tree at some nodes or in improving the bound of the LP relaxations.
DOI
10.1016/j.disopt.2015.02.003
WOS
WOS:000353850800007
Archivio
http://hdl.handle.net/11390/1066984
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84924655652
Diritti
open access
Soggetti
  • Integer Linear Progra...

  • Local Search

  • Branch and Cut

  • TSP

  • Max-Cut

  • Max-SAT

Scopus© citazioni
3
Data di acquisizione
Jun 2, 2022
Vedi dettagli
Web of Science© citazioni
2
Data di acquisizione
Mar 17, 2024
Visualizzazioni
2
Data di acquisizione
Apr 19, 2024
Vedi dettagli
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