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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

ISSN: 2184-2825

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.

CC BY-NC-ND 4.0

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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 Intelligence - IJCCI, ISBN 978-989-758-274-5 ISSN 2184-2825, 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 - IJCCI,},
year={2017},
pages={35-44},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006491300350044},
isbn={978-989-758-274-5},
issn={2184-2825},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Computational Intelligence - IJCCI,
TI - Towards Real-Time Fleet-Event-Handling for the Dynamic Vehicle Routing Problem
SN - 978-989-758-274-5
IS - 2184-2825
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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