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2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application 2008
DOI: 10.1109/paciia.2008.9
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An Improved PSO for the Multi-Depot Vehicle Routing Problem with Time Windows

Abstract: The distribution of finished products from depots to customers is a practical and challenging problem in logistics management. Better routing and scheduling decisions can result in higher level of customer satisfaction. The distribution problem is generally formulated as the vehicle routing problem (VRP). Nevertheless, there is a rigid assumption that there is only one depot. In cases, for instance, where a logistics company has more than one depot, the VRP is not suitable. To resolve this limitation, this pap… Show more

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Cited by 7 publications
(2 citation statements)
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“…Dondo, et al (2009) proposed a hybrid local improvement algorithm to solve large scale MDVRPTW. Wen et al (2008) developed an improved particle swarm algorithm for solving MDVRPTW; Ting et al (2008) combined the ant colony algorithm and simulated annealing algorithm to solve MDVRPTW and got ideal experimental results; Ostertag (2008) integrated the VNS and MA into POPMUSIC algorithm framework respectively, and compared the solving results of two hybrid algorithm for the massive MDVRPTW. Andrea Bettinelli et al (2011) presented a branch-and-cut-and-price algorithm for the exact solution of a variation of the vehicle routing problem with time windows in which the transportation fleet is made by vehicles with different capacities and fixed costs, based at different depots.…”
Section: Literature Reviewsmentioning
confidence: 99%
“…Dondo, et al (2009) proposed a hybrid local improvement algorithm to solve large scale MDVRPTW. Wen et al (2008) developed an improved particle swarm algorithm for solving MDVRPTW; Ting et al (2008) combined the ant colony algorithm and simulated annealing algorithm to solve MDVRPTW and got ideal experimental results; Ostertag (2008) integrated the VNS and MA into POPMUSIC algorithm framework respectively, and compared the solving results of two hybrid algorithm for the massive MDVRPTW. Andrea Bettinelli et al (2011) presented a branch-and-cut-and-price algorithm for the exact solution of a variation of the vehicle routing problem with time windows in which the transportation fleet is made by vehicles with different capacities and fixed costs, based at different depots.…”
Section: Literature Reviewsmentioning
confidence: 99%
“…• Πρόβληµα MDVRP : Tα οχήµατα διανοµής ξεκινούν από περισσότερες της µιας αφετηρίες (αποθήκες-σηµεία στάθµευσης), (Μulti-Depot), βλ (Polacek Michael, Hartl Richard et all, 2004), (Salhi S., et all, 1998), (Taillard E.D., Laporte G, et all, 1996), (Tsouros M., Pitsiava M., Grammenidou K.,2006), (Wen L., Meng F.,2008).…”
Section: συνδετική λίσταunclassified