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, AEl, Benadada, Y
EditorAlaoui, AE, Benadada, Y, Boukachour, J
Conference NamePROCEEDINGS OF THE 3RD IEEE INTERNATIONAL CONFERENCE ON LOGISTICS OPERATIONS MANAGEMENT (GOL'16)
PublisherSidi Mohammed Ben Abdellah Univ Fes, Fac Sci & Technol; Mohammed V Univ Rabat, ENSIAS Sch; Univ Havre; IEEE
ISBN Number978-1-4673-8571-8
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.

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