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Particle swarm optimization for the vehicle routing problem with stochastic demands

Marinaki Magdalini, Marinakis Ioannis, Iordanidou Georgia-Roumpini

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URIhttp://purl.tuc.gr/dl/dias/BC25BDBF-4116-4C77-A416-DA3B48AE0BAD-
Identifierhttps://doi.org/10.1016/j.asoc.2013.01.007-
Languageen-
Extent1693–1704en
TitleParticle swarm optimization for the vehicle routing problem with stochastic demandsen
CreatorMarinaki Magdalinien
CreatorΜαρινακη Μαγδαληνηel
CreatorMarinakis Ioannisen
CreatorΜαρινακης Ιωαννηςel
CreatorIordanidou Georgia-Roumpinien
CreatorΙορδανιδου Γεωργια-Ρουμπινηel
PublisherElsevieren
Content SummaryThis paper introduces a new hybrid algorithmic approach based on Particle Swarm Optimization (PSO) for successfully solving one of the most popular supply chain management problems, the Vehicle Routing Problem with Stochastic Demands (VRPSD). The VRPSD is a well known NP-hard problem in which a vehicle with finite capacity leaves from the depot with full load and has to serve a set of customers whose demands are known only when the vehicle arrives to them. A number of different variants of the PSO are tested and the one that performs better is used for solving benchmark instances from the literature.en
Type of ItemUnreviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό χωρίς Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-09-27-
Date of Publication2013-
Bibliographic CitationY. Marinakis, G.R. Iordanidou and M. Marinaki, (2013) “Particle Swarm Optimization for the Vehicle Routing Problem with Stochastic Demands”, Applied Soft Computing, Vol. 13, Issue 4, Apr. 2013, p.p 1693–1704, doi:10.1016/j.asoc.2013.01.007en

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