Particle swarm optimization with a mutation operator for solving the preventive aircraft maintenance routing problem

TitreParticle swarm optimization with a mutation operator for solving the preventive aircraft maintenance routing problem
Publication TypeConference Paper
Year of Publication2016
AuthorsSarhani, M, Ezzinbi, O, Afia, AE, Benadada, Y
Conference NameProceedings 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.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85001976721&doi=10.1109%2fGOL.2016.7731683&partnerID=40&md5=9bef08dc37eff9c6ed7b1c2c6e2e41b6
DOI10.1109/GOL.2016.7731683
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