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Authors: Kaouthar Deghdak ; Vincent T’kindt and Jean-Louis Bouquard

Affiliation: Université François–Rabelais Tours, France

Keyword(s): Evacuation, Greedy Heuristic, Matheuristic.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Methodologies and Technologies ; Operational Research ; Optimization ; Pattern Recognition ; Scheduling ; Software Engineering ; Symbolic Systems

Abstract: In this paper, we consider a large-scale evacuation problem after an important disaster. The evacuation is assumed to be done by means of a fleet of buses, thus leading to schedule the evacuation operations by buses (Bus Evacuation Problem, BEP). We propose time indexed formulations, as well as heuristic algorithms like greedy algorithms and a matheuristic. This matheuristic uses the former formulation to improve the best solution obtained by the greedy heuristics. In computational experiments, we analyse and evaluate the efficiency of the proposed solution algorihms.

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Paper citation in several formats:
Deghdak, K.; T’kindt, V. and Bouquard, J. (2014). Heuristics for Scheduling Evacuation Operations in Case of Natural Disaster. In Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-017-8; ISSN 2184-4372, SciTePress, pages 294-300. DOI: 10.5220/0004922102940300

@conference{icores14,
author={Kaouthar Deghdak. and Vincent T’kindt. and Jean{-}Louis Bouquard.},
title={Heuristics for Scheduling Evacuation Operations in Case of Natural Disaster},
booktitle={Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems - ICORES},
year={2014},
pages={294-300},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004922102940300},
isbn={978-989-758-017-8},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems - ICORES
TI - Heuristics for Scheduling Evacuation Operations in Case of Natural Disaster
SN - 978-989-758-017-8
IS - 2184-4372
AU - Deghdak, K.
AU - T’kindt, V.
AU - Bouquard, J.
PY - 2014
SP - 294
EP - 300
DO - 10.5220/0004922102940300
PB - SciTePress

- Science and Technology Publications, Lda.
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