In this work we address, from a user perspective, the problem to define optimal itineraries for visiting scheduled events in an urban environment. The problem is modeled as an orienteering problem with time windows. Real-case instances are difficult to solve by means of commercial solvers. We propose a matheuristic approach which is compared against the exact solver by using a real-case instance derived by a big Italian furniture fair. Test results show clear effectiveness of the proposed approach.

Solving the orienteering problem with time windows in big event management with a matheuristic approach.

Claudio Gentile;Giuseppe Stecca;
2018

Abstract

In this work we address, from a user perspective, the problem to define optimal itineraries for visiting scheduled events in an urban environment. The problem is modeled as an orienteering problem with time windows. Real-case instances are difficult to solve by means of commercial solvers. We propose a matheuristic approach which is compared against the exact solver by using a real-case instance derived by a big Italian furniture fair. Test results show clear effectiveness of the proposed approach.
2018
Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI
Inglese
EU/ME 2018, 19th Free Workshop on Metaheuristics for Industry.
15
18
4
Sì, ma tipo non specificato
22-23/3/2018
Ginevra (Svizzera)
Orienteering Problem
Matheuristics
big events management
tourist planning
4
none
Gentile, Claudio; Mancini, Simona; Stecca, Giuseppe; Suanno, Maria
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/350279
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