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Particle swarm optimization with a mutation operator for solving the preventive aircraft maintenance routing problem
Titre | Particle swarm optimization with a mutation operator for solving the preventive aircraft maintenance routing problem |
Publication Type | Conference Paper |
Year of Publication | 2016 |
Authors | Sarhani, M, Ezzinbi, O, Afia, AE, Benadada, Y |
Conference Name | Proceedings of the 3rd IEEE International Conference on Logistics Operations Management, GOL 2016 |
Abstract | Aircraft Maintenance Routing (AMR) is one of the major optimization problems in the airline industry. In this study, we present a mathematical formulation for the daily AMR problem which aims to minimize the risk of both scheduled and non-scheduled maintenance costs. Exact methods may fail to deal with such problems. Our contribution is then to examine the use of an improved particle swarm optimization (PSO) algorithm by a uniform mutation operator for solving this probabilistic problem. Computational results show that our hybrid approach gives competitive results comparing to the native binary PSO. © 2016 IEEE.
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URL | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85001976721&doi=10.1109%2fGOL.2016.7731683&partnerID=40&md5=9bef08dc37eff9c6ed7b1c2c6e2e41b6 |
DOI | 10.1109/GOL.2016.7731683 |
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