Evolutionary Freight Transportation Planning

Authors:
Thomas Weise;Alexander Podlich;Kai Reinhard;Christian Gorldt;Kurt Geihs
Affiliations:
Distributed Systems Group, University of Kassel, Kassel, Germany 34121;Micromata GmbH Kassel, Kassel, Germany 34131;Micromata GmbH Kassel, Kassel, Germany 34131;BIBA --- Bremer Institut für Produktion und Logistik GmbH,;Distributed Systems Group, University of Kassel, Kassel, Germany 34121
Venue:
EvoWorkshops '09 Proceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG
Year:
2009

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Abstract

In this paper, we present the freight transportation planning component of the INWEST project. This system utilizes an evolutionary algorithm with intelligent search operations in order to achieve a high utilization of resources and a minimization of the distance travelled by freight carriers in real-world scenarios. We test our planner rigorously with real-world data and obtain substantial improvements when compared to the original freight plans. Additionally, different settings for the evolutionary algorithm are studied with further experiments and their utility is verified with statistical tests.