Enumeration of Pareto Optima for a Bicriteria Evacuation Scheduling Problem
Kaouthar Deghdak, Vincent T'kindt, Jean-Louis Bouquard
2015
Abstract
In this paper, we consider a large-scale evacuation problem after an important disaster. We model the evacuation of a region from a set of collection points to a set of capacitated shelters with the help of buses, thus leading to scheduling the evacuation operations by buses (Bus Evacuation Problem, BEP). The goal is twofold; first, minimizing the total evacuation time needed to bring the resident out of the endangered region, and secondly, minimizing the total exposure to danger. The resulting problem is a bicriteria problem. We propose a time-indexed formulation, as well as several approaches for finding both upper and lower bounds for BEP used within a branch and bound algorithm. In computational experiments, we analyse and evaluate the efficiency of the proposed solution algorithms.
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Paper Citation
in Harvard Style
Deghdak K., T'kindt V. and Bouquard J. (2015). Enumeration of Pareto Optima for a Bicriteria Evacuation Scheduling Problem . In Proceedings of the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-075-8, pages 162-171. DOI: 10.5220/0005221201620171
in Bibtex Style
@conference{icores15,
author={Kaouthar Deghdak and Vincent T'kindt and Jean-Louis Bouquard},
title={Enumeration of Pareto Optima for a Bicriteria Evacuation Scheduling Problem},
booktitle={Proceedings of the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2015},
pages={162-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005221201620171},
isbn={978-989-758-075-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Enumeration of Pareto Optima for a Bicriteria Evacuation Scheduling Problem
SN - 978-989-758-075-8
AU - Deghdak K.
AU - T'kindt V.
AU - Bouquard J.
PY - 2015
SP - 162
EP - 171
DO - 10.5220/0005221201620171