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An Adaptive Iterated Local Search for the Mixed Capacitated General Routing Problem

Sammendrag

We study the Mixed Capacitated General Routing Problem (MCGRP)in which a fleet of capacitated vehicles has to serve a set of requests by traversing a mixed weighted graph. The requests may be located on nodes, edges, and arcs. We propose a new Iterated Local Search metaheuristic for the problem. Computational experiments show that the proposed metaheuristic is highly effective on five published benchmarks for the MCGRP. The metaheuristic yields excellent results also on seven standard CARP datasets, and good results on four well-known CVRP benchmarks.

Kategori

Vitenskapelig foredrag

Oppdragsgiver

  • Research Council of Norway (RCN) / 205298
  • Research Council of Norway (RCN) / 217108

Språk

Engelsk

Forfatter(e)

  • Mauro Dell'Amico
  • Jose Carlos Diaz Diaz
  • Geir Hasle
  • Manuel Iori

Institusjon(er)

  • Università degli Studi di Modena e Reggio Emilia
  • SINTEF Digital / Mathematics and Cybernetics

Presentert på

20th Conference of the International Federation of Operational Research Societies (IFORS 2014)

Sted

Barcelona

Dato

13.07.2014 - 18.07.2014

Arrangør

International Federation of Operational Research Societies

År

2014

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