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Minimizing the fuel consumption of a multiobjective vehicle routing problem using the parallel multi-start NSGA II algorithm

Psychas Iraklis-Dimitrios, Marinaki Magdalini, Marinakis Ioannis, Mygdalas Athanasios

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URIhttp://purl.tuc.gr/dl/dias/102A0529-F3F8-4F93-BB9A-781E89D72608-
Identifierhttps://link.springer.com/chapter/10.1007%2F978-3-319-29608-1_5-
Identifierhttps://doi.org/10.1007/978-3-319-29608-1_5-
Languageen-
Extent20 pagesen
TitleMinimizing the fuel consumption of a multiobjective vehicle routing problem using the parallel multi-start NSGA II algorithmen
CreatorPsychas Iraklis-Dimitriosen
CreatorΨυχας Ηρακλης-Δημητριοςel
CreatorMarinaki Magdalinien
CreatorΜαρινακη Μαγδαληνηel
CreatorMarinakis Ioannisen
CreatorΜαρινακης Ιωαννηςel
CreatorMygdalas Athanasiosen
CreatorΜυγδαλας Αθανασιοςel
PublisherSpringer New York LLCen
Content SummaryIn this paper, a new multiobjective formulation of the Vehicle Routing Problem, the Multiobjective Fuel Consumption Vehicle Routing Problem (MFCVRP), using two different objective functions is presented. The first objective function corresponds to the optimization of the total travel time and the second objective function is the minimization of the fuel consumption of the vehicle taking into account the travel distance, the load of the vehicle, and other route parameters. We solve two cases of the Multiobjective Fuel Consumption Vehicle Routing Problem. In the first case the problem is symmetric and in the second case the problem is asymmetric. The problem is solved with the Parallel Multi-Start NSGA II that uses more than one initial population of individuals and a Variable Neighborhood Search algorithm for the improvement of each produced solution. The instances that are used for the solution of the problem are modified instances based on the classic Euclidean Traveling Salesman Problem benchmark instances taken from the TSP library.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2018-11-13-
Date of Publication2016-
SubjectGRASPen
SubjectMultiobjective fuel consumption vehicle routing problemen
SubjectParallel Multi-Start NSGA IIen
SubjectVNSen
Bibliographic CitationI.-D. Psychas, M. Marinaki, Y. Marinakis and A. Migdalas, "Minimizing the fuel consumption of a multiobjective vehicle routing problem using the parallel multi-start NSGA II algorithm," in 4th International Conference on Network Analysis, 2016, pp. 69-88. doi: 10.1007/978-3-319-29608-1_5en

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