In this paper we consider a particular graph-optimization problem. Given an edge-colored graph and a set of constraints on the sequence of the colors, one is to find the longest path whose colored edges obey the constraints on the sequence of the colors. In the actual formulation, the problem generalizes already known NP-Complete problems, and, evidently, the alternating path problem in edge colored graphs. Recent literature has shown several contexts where such problem may be useful to model interesting applications, and has proposed exact IP models and related algorithms. We extend on these existing models and extensively test new formulations for the problem, showing how one of the newly developed model clearly exhibits better performance, allowing to solve at optimality instances of significant sizes.

Exact approaches for the orderly colored longest path problem: performance comparison

Carrabs, Francesco
;
Cerulli, Raffaele;
2019-01-01

Abstract

In this paper we consider a particular graph-optimization problem. Given an edge-colored graph and a set of constraints on the sequence of the colors, one is to find the longest path whose colored edges obey the constraints on the sequence of the colors. In the actual formulation, the problem generalizes already known NP-Complete problems, and, evidently, the alternating path problem in edge colored graphs. Recent literature has shown several contexts where such problem may be useful to model interesting applications, and has proposed exact IP models and related algorithms. We extend on these existing models and extensively test new formulations for the problem, showing how one of the newly developed model clearly exhibits better performance, allowing to solve at optimality instances of significant sizes.
2019
File in questo prodotto:
File Dimensione Formato  
2018_OrderlyColoredLongestPath.pdf

accesso aperto

Descrizione: Articolo principale
Tipologia: Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza: Creative commons
Dimensione 733.07 kB
Formato Adobe PDF
733.07 kB Adobe PDF Visualizza/Apri

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/11386/4714336
 Attenzione

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

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 8
  • ???jsp.display-item.citation.isi??? 7
social impact