Search results for "Capacitated vehicle routing problem"

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The mixed capacitated general routing problem with turn penalties

2011

In this paper we deal with the mixed capacitated general routing problem with turn penalties. This problem generalizes many important arc and node routing problems, and it takes into account turn penalties and forbidden turns, which are crucial in many real-life applications, such as mail delivery, waste collection and street maintenance operations. Through a polynomial transformation of the considered problem into a Generalized Vehicle routing problem, we suggest a new approach for solving this new problem by transforming it into an Asymmetric Capacitated Vehicle routing problem. In this way, we can solve the new problem both optimally and heuristically using existing algorithms. A powerfu…

Capacitated vehicle routing problemMathematical optimizationRouting problemsPolynomial transformationReal-life applicationsTurn penaltiesCapacitated general routing problemRouting algorithmsVehicle Routing ProblemsTransformationPolynomial transformationsArtificial IntelligenceVehicle routing problemDestination-Sequenced Distance Vector routingGeneral routing problemMathematicsta113Average deviationStatic routingWaste collectionNode (networking)General EngineeringSolution methodsMaintenance operationsVehicle routingComputer Science ApplicationsMemetic algorithmsBenchmark (computing)Network routingMemetic algorithmRouting (electronic design automation)MATEMATICA APLICADAAlgorithmsExpert Systems with Applications
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Application of a Knowledge Discovery Process to Study Instances of Capacitated Vehicle Routing Problems

2020

Vehicle Routing Problems (VRP) are computationally challenging, constrained optimization problems, which have central role in logistics management. Usually different solvers are being developed and applied for different kind of problems. However, if descriptive and general features could be extracted to describe such problems and their solution attempts, then one could apply data mining and machine learning methods in order to discover general knowledge on such problems. The aim then would be to improve understanding of the most important characteristics of VRPs from both efficient solution and utilization points of view. The purpose of this article is to address these challenges by proposi…

autoencoderreititysbusiness.industryComputer scienceProcess (engineering)capacitated vehicle routing problemsfeature extractionFeature extractionLogistics managementknowledge discoveryRobust statisticsMachine learningcomputer.software_genreAutoencoderkoneoppiminenKnowledge extractionoptimointirobust statisticsVehicle routing problemlogistiikkaGeneral knowledgeArtificial intelligencetiedonlouhintabusinesscomputer
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