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Authors: Wagner P. Gomes and Nicolau D. F. Gualda

Affiliation: Universidade de São Paulo and Escola Politécnica, Brazil

ISBN: 978-989-8425-83-6

Keyword(s): Air transportation, Airline crew assignment, Metaheuristic, Hybrid genetic algorithm.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; Hybrid Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: A typical problem related to airline crew management consists of optimally assigning the required crew members to flights for a period of time, while complying with labor regulations, safety rules and policies of the airline. This problem, called the Crew Assignment Problem (CAP), is a combinatorial optimization problem. Hence, a Hybrid Genetic Algorithm (HGA) associated with a constructive heuristic and a local search was developed. The HGA was tested and applied to solve instances related to a Brazilian airline.

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Paper citation in several formats:
P. Gomes, W. and D. F. Gualda, N. (2011). A HYBRID GENETIC ALGORITHM FOR THE AIRLINE CREW ASSIGNMENT PROBLEM.In Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011) ISBN 978-989-8425-83-6, pages 190-195. DOI: 10.5220/0003670601900195

@conference{ecta11,
author={Wagner P. Gomes. and Nicolau D. F. Gualda.},
title={A HYBRID GENETIC ALGORITHM FOR THE AIRLINE CREW ASSIGNMENT PROBLEM},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011)},
year={2011},
pages={190-195},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003670601900195},
isbn={978-989-8425-83-6},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011)
TI - A HYBRID GENETIC ALGORITHM FOR THE AIRLINE CREW ASSIGNMENT PROBLEM
SN - 978-989-8425-83-6
AU - P. Gomes, W.
AU - D. F. Gualda, N.
PY - 2011
SP - 190
EP - 195
DO - 10.5220/0003670601900195

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