POPMUSIC for a real-world large-scale vehicle routing problem with time windows

A Ostertag (), K F Doerner (), R F Hartl, E D Taillard and P Waelti
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A Ostertag: University of Vienna
K F Doerner: University of Vienna
R F Hartl: University of Vienna
E D Taillard: University of Applied Science
P Waelti: University of Applied Science

Journal of the Operational Research Society, 2009, vol. 60, issue 7, 934-943

Abstract: Abstract This paper presents a heuristic approach based on the POPMUSIC framework for a large-scale Multi Depot Vehicle Routing Problem with Time Windows derived from real-world data. POPMUSIC is a very powerful tool for tackling large problem instances. A Memetic Algorithm is used as an optimizer in the POPMUSIC framework. It is shown that a population-based search combined with decomposition strategies is a very efficient and flexible tool to tackle real-world problems with regards to solution quality as well as runtime.

Keywords: vehicle routing; heuristics; problem decomposition (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (4)

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DOI: 10.1057/palgrave.jors.2602633

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