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Authors: Mouna Bouzid ; Ines Alaya and Moncef Tagina

Affiliation: LARIA-ENSI, National School of Computer Sciences, University of Manouba, Manouba 2010, Tunisia

Keyword(s): Metaheuristic, Bee Colony Optimization, The Daily Car Pooling Problem.

Abstract: The foraging behavior of bees has been adapted in a Bee Colony Optimization algorithm (BCO). This approach is a simple and an efficient metaheuristic that has been successfully used to solve many complex optimization problems in different domains, mostly in transportation, location and scheduling fields. In this study, we develop two algorithms for the Daily Car Pooling Problem based on the BCO approach. The developed algorithms are experimentally tested on benchmark instances of different sizes. The computational results show that the proposed approaches can produce good solutions when compared with an exact method.

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Paper citation in several formats:
Bouzid, M.; Alaya, I. and Tagina, M. (2021). Guided Bee Colony Algorithm Applied to the Daily Car Pooling Problem. In Proceedings of the 16th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-523-4; ISSN 2184-2833, SciTePress, pages 465-472. DOI: 10.5220/0010517504650472

@conference{icsoft21,
author={Mouna Bouzid. and Ines Alaya. and Moncef Tagina.},
title={Guided Bee Colony Algorithm Applied to the Daily Car Pooling Problem},
booktitle={Proceedings of the 16th International Conference on Software Technologies - ICSOFT},
year={2021},
pages={465-472},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010517504650472},
isbn={978-989-758-523-4},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Software Technologies - ICSOFT
TI - Guided Bee Colony Algorithm Applied to the Daily Car Pooling Problem
SN - 978-989-758-523-4
IS - 2184-2833
AU - Bouzid, M.
AU - Alaya, I.
AU - Tagina, M.
PY - 2021
SP - 465
EP - 472
DO - 10.5220/0010517504650472
PB - SciTePress