Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
Combining Monte Carlo simulation with heuristics to solve a rich and real-life multi-depot vehicle routing problem
Research Areas
  • Operative research and mathematic programming,
  • Engineering
This paper presents an optimization approach which integrates Monte Carlo simulation (MCS) within a heuristic algorithm in order to deal with a rich and real-life vehicle routing problem. A set of customers' orders must be delivered from different depots and using a heterogeneous fleet of vehicles. Also, since the capacity of the firm's depots is limited, some vehicles might need to be replenished using external tanks. The MCS component, which is based on the use of a skewed probability distribution, allows to transform a deterministic heuristic into a probabilistic procedure. The geometric distribution is used to guide the local search process during the generation of high-quality solutions. The efficiency of our approach is tested against a real-world instance. The results show that our algorithm is capable of providing noticeable savings in short computing times.
Book Edition
Book Publishing
IEEE Press
Book title
WSC '16 Proceedings of the 2016 Winter Simulation Conference
From page
To page
  • Autor: Gabriel Alemany (Open University of Catalonia)
  • Autor: Jesica de Armas (Open University of Catalonia)
  • Autor: Angel A. Juan (Open University of Catalonia)
  • Autor: Alvaro Garcia Sanchez (UPM)
  • Autor: Roberto Garcia Meizoso (UPM)
  • Autor: Miguel Angel Ortega Mier (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ingeniería de Organización y Logística
  • Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
S2i 2021 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)