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Authors: Haoxiong Yang 1 ; Li Jing 1 ; Yongsheng Zhou 2 and Mingke He 2

Affiliations: 1 School of Business and Beijing Technology and Business University, China ; 2 Beijing Technology and Business University, China

ISBN: 978-989-8425-56-0

Keyword(s): City distribution, Multi-depot, Multi-task, Vehicle routing problem, Self-adaptive, Polymorphic ant colony algorithm (APACA).

Abstract: This paper presents a new mathematical model of the vehicle routing problem in the context of city distribution, which considers multi-depot, multi-model vehicles and multi-task. The objective function includes three parts: transport cost, deadheading cost and time cost. To solve this mathematical model, a self-adaptive and polymorphic ant colony algorithm (APACA) has been introduced. Finally, a case study is presented to compare the results based on APACA with that under stochastic condition. Simulation results show that APACA is an effective and desirable algorithm for solving the mathematical model.

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Paper citation in several formats:
Yang, H.; Jing, L.; Zhou, Y. and He, M. (2011). VEHICLE ROUTING PROBLEM WITH MULTI-DEPOT AND MULTI-TASK.In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 3: MMLM, (ICEIS 2011) ISBN 978-989-8425-56-0, pages 650-655. DOI: 10.5220/0003573406500655

@conference{mmlm11,
author={Haoxiong Yang. and Li Jing. and Yongsheng Zhou. and Mingke He.},
title={VEHICLE ROUTING PROBLEM WITH MULTI-DEPOT AND MULTI-TASK},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 3: MMLM, (ICEIS 2011)},
year={2011},
pages={650-655},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003573406500655},
isbn={978-989-8425-56-0},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 3: MMLM, (ICEIS 2011)
TI - VEHICLE ROUTING PROBLEM WITH MULTI-DEPOT AND MULTI-TASK
SN - 978-989-8425-56-0
AU - Yang, H.
AU - Jing, L.
AU - Zhou, Y.
AU - He, M.
PY - 2011
SP - 650
EP - 655
DO - 10.5220/0003573406500655

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