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المؤلفBen Ahmed, Mohamed
المؤلفMansour, Farah Zeghal
المؤلفHaouari, Mohamed
تاريخ الإتاحة2021-06-03T09:23:16Z
تاريخ النشر2016
اسم المنشورIEEE International Conference on Industrial Engineering and Engineering Management
المصدرScopus
الرقم المعياري الدولي للكتاب21573611
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/IEEM.2015.7385640
معرّف المصادر الموحدhttp://hdl.handle.net/10576/18523
الملخصTo mitigate the impact of unpredictable disruptions, airlines are seeking to proactively design schedules that incorporate some robustness features. In this paper, we propose a novel simulation-optimization approach using a particle swarm optimization algorithm for solving the robust aircraft routing and flight retiming problem. The approach requires inserting buffer times between departure times of flights to improve the robustness of both aircraft and passengers connections. The proposed approach is based on discrete-event simulation for the evaluation of the solutions performance and a Particle Swarm Optimization (PSO) routine for guiding the search towards enhanced solutions. The results of computational experiments that were carried out on a real data are presented.
اللغةen
الناشرIEEE Computer Society
الموضوعAircraft routing
Airline planning
Delays
Particle Swarm Optimization (PSO)
Robustness
Simulation
العنوانA PSO approach for robust aircraft routing
النوعConference Paper
الصفحات219-223
رقم المجلد2016-January
dc.accessType Abstract Only


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