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Authors: Simon Anderer 1 ; Max Halbich 1 ; Bernd Scheuermann 1 and Sanaz Mostaghim 2

Affiliations: 1 Hochschule Karlsruhe, Germany ; 2 Otto-von-Guericke Universität, Germany

ISBN: 978-989-758-274-5

Keyword(s): Dynamic Vehicle Routing Problem, Evolutionary Algorithm, Event Processing.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: This paper proposes an approach to real-time fleet event handling for the Dynamic Vehicle Routing Problem based on evolutionary computation. For this purpose, a communication protocol between a fleet of vehicles and an optimization back-end is presented and the related changes to the evolutionary algorithm are illustrated. This allows for information exchange and event-handling in real-time. Furthermore, this paper describes the adaption of benchmark files for the static Vehicle Routing Problem to a dynamic real-time scenario including time-dependent travel times, as well as dynamic travel and service times. The adapted benchmark files are then used for the evaluation of the proposed system.

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Paper citation in several formats:
Anderer S., Halbich M., Scheuermann B. and Mostaghim S. (2017). Towards Real-Time Fleet-Event-Handling for the Dynamic Vehicle Routing Problem.In Proceedings of the 9th International Joint Conference on Computational IntelligenceISBN 978-989-758-274-5, pages 35-44. DOI: 10.5220/0006491300350044

@conference{ijcci17,
author={Simon Anderer and Max Halbich and Bernd Scheuermann and Sanaz Mostaghim},
title={Towards Real-Time Fleet-Event-Handling for the Dynamic Vehicle Routing Problem},
booktitle={Proceedings of the 9th International Joint Conference on Computational Intelligence},
year={2017},
pages={35-44},
doi={10.5220/0006491300350044},
isbn={978-989-758-274-5},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Computational Intelligence
TI - Towards Real-Time Fleet-Event-Handling for the Dynamic Vehicle Routing Problem
SN - 978-989-758-274-5
AU - Anderer S.
AU - Halbich M.
AU - Scheuermann B.
AU - Mostaghim S.
PY - 2017
SP - 35
EP - 44
DO - 10.5220/0006491300350044

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