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Authors: Henrique Sousa 1 ; Ricardo Teixeira 1 ; Henrique Lopes Cardoso 2 and Eugénio Oliveira 2

Affiliations: 1 Universidade do Porto, Portugal ; 2 Universidade do Porto, LIACC and Laboratório de Inteligência Artificial e Ciência de Computadores, Portugal

ISBN: 978-989-758-074-1

Keyword(s): Aircraft Scheduling, Disruption Management, Ant Colony Optimization.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Constraint Satisfaction ; Evolutionary Computing ; Formal Methods ; Industrial Applications of AI ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Planning and Scheduling ; Simulation and Modeling ; Soft Computing ; Symbolic Systems

Abstract: Disruption management is one of the main concerns of any airline company, as it can influence its annual revenue by upwards of 3%. Most of medium to large airlines have specialized teams which focus on recovering disrupted schedules with very little automation. This paper presents a new automated approach to solve both the Aircraft Assignment Problem (AAP) and the Aircraft Recovering Problem (ARP), where the solutions are responsive to unforeseen events. The developed algorithm, based on Ant Colony Optimization, aims to minimize the operational costs involved and is designed to schedule and reschedule flights dynamically by using a sliding window. Test results tend to indicate that this approach is feasible, both in terms of time and quality of the proposed solutions.

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Paper citation in several formats:
Sousa, H.; Teixeira, R.; Lopes Cardoso, H. and Oliveira, E. (2015). Airline Disruption Management - Dynamic Aircraft Scheduling with Ant Colony Optimization.In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-074-1, pages 398-405. DOI: 10.5220/0005205303980405

@conference{icaart15,
author={Henrique Sousa. and Ricardo Teixeira. and Henrique Lopes Cardoso. and Eugénio Oliveira.},
title={Airline Disruption Management - Dynamic Aircraft Scheduling with Ant Colony Optimization},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2015},
pages={398-405},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005205303980405},
isbn={978-989-758-074-1},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Airline Disruption Management - Dynamic Aircraft Scheduling with Ant Colony Optimization
SN - 978-989-758-074-1
AU - Sousa, H.
AU - Teixeira, R.
AU - Lopes Cardoso, H.
AU - Oliveira, E.
PY - 2015
SP - 398
EP - 405
DO - 10.5220/0005205303980405

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