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A memetic differential evolution algorithm for the vehicle routing problem with stochastic demands

Marinaki Magdalini, Marinakis Ioannis, Paraskevi Spanou

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URIhttp://purl.tuc.gr/dl/dias/E033B572-D70C-4F68-BB0B-3FC67BA0E7E8-
Identifierhttps://doi.org/10.1007/978-3-319-14400-9_9-
Languageen-
TitleA memetic differential evolution algorithm for the vehicle routing problem with stochastic demandsen
CreatorMarinaki Magdalinien
CreatorΜαρινακη Μαγδαληνηel
CreatorMarinakis Ioannisen
CreatorΜαρινακης Ιωαννηςel
CreatorParaskevi Spanouen
PublisherSpringer Verlagen
Content SummaryThis chapter introduces a new hybrid algorithmic approach based on the Differential Evolution (DE) algorithm for successfully solving a number of routing problems with stochastic variables. More precisely, we solve one problem with stochastic customers, the Probabilistic Traveling Salesman Problem and one problem with stochastic demands, the Vehicle Routing Problem with Stochastic Demands. The proposed algorithm uses a Variable Neighborhood Search algorithm in order to increase the exploitation abilities of the algorithm. The algorithm is tested on a number of benchmark instances from the literature and it is compared with a hybrid Genetic Algorithm.en
Type of ItemΠερίληψη Δημοσίευσης σε Συνέδριοel
Type of ItemConference Paper Abstracten
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-28-
Date of Publication2012-
Bibliographic CitationY. Marinakis, M. Marinaki and P. Spanou, “A Memetic Differential Evolution Algorithm for the Vehicle Routing Problem with Stochastic Demands”, in Adaptation and Hybridization in Computational Intelligence, Adaptation, Learning, and Optimization, 2015, pp. 185-203. DOI: 10.1007/978-3-319-14400-9_9en

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