Institutional Repository
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/BC25BDBF-4116-4C77-A416-DA3B48AE0BAD | - |
| Identifier | https://doi.org/10.1016/j.asoc.2013.01.007 | - |
| Language | en | - |
| Extent | 1693–1704 | en |
| Title | Particle swarm optimization for the vehicle routing problem with stochastic demands | en |
| Creator | Marinaki Magdalini | en |
| Creator | Μαρινακη Μαγδαληνη | el |
| Creator | Marinakis Ioannis | en |
| Creator | Μαρινακης Ιωαννης | el |
| Creator | Iordanidou Georgia-Roumpini | en |
| Creator | Ιορδανιδου Γεωργια-Ρουμπινη | el |
| Publisher | Elsevier | en |
| Content Summary | This 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 Item | Unreviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό χωρίς Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-09-27 | - |
| Date of Publication | 2013 | - |
| Bibliographic Citation | Y. 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.2013.01.007 | en |
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