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Authors: Víctor Sacristán ; Antonio Jiménez-Martín and Alfonso Mateos

Affiliation: Universidad Politécnica de Madrid, Spain

ISBN: 978-989-758-171-7

ISSN: 2184-4372

Keyword(s): Accessibility Problem, Road Repair, Ant Colony System.

Related Ontology Subjects/Areas/Topics: Applications ; Methodologies and Technologies ; Network Optimization ; Operational Research ; Pattern Recognition ; Software Engineering ; Stochastic Optimization

Abstract: We propose a novel double ant colony system to deal with accessibility issues after a natural or man-made disaster. The aim is to maximize the number of survivors that reach the nearest regional center (center of economic and social activity in the region) in a minimum time by planning which rural roads damaged by the disaster should be repaired given the available financial and human resources. The proposed algorithm is illustrated by means of a large instance based on the Haiti natural disasters in August-September 2008.

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Paper citation in several formats:
Sacristán, V.; Jiménez-Martín, A. and Mateos, A. (2016). Double Ant Colony System to Improve Accessibility after a Disaster. In Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - ICORES, ISBN 978-989-758-171-7; ISSN 2184-4372, pages 79-86. DOI: 10.5220/0005651900790086

@conference{icores16,
author={Víctor Sacristán. and Antonio Jiménez{-}Martín. and Alfonso Mateos.},
title={Double Ant Colony System to Improve Accessibility after a Disaster},
booktitle={Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - ICORES,},
year={2016},
pages={79-86},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005651900790086},
isbn={978-989-758-171-7},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - ICORES,
TI - Double Ant Colony System to Improve Accessibility after a Disaster
SN - 978-989-758-171-7
IS - 2184-4372
AU - Sacristán, V.
AU - Jiménez-Martín, A.
AU - Mateos, A.
PY - 2016
SP - 79
EP - 86
DO - 10.5220/0005651900790086

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