Fa   |   Ar   |   En
   D Etermination of the Aircraft Landing Sequence By Two Meta-Heuristic Algorithms  
نویسنده Mokhtarimousavi Seyedmirsajad ,Rahami Hossein ,Saffarzadeh Mahmoud ,Piri Saeed
منبع International Journal Of Transportation Engineering - 2014 - دوره : 1 - شماره : 4 - صفحه:271 -284
چکیده    Due to an anticipated increase in air traffic during the next decade, air traffic control in busyairports is one of the main challenges confronting the controllers in the near future. since the runwayis often a bottleneck in an airport system, there is a great interest in optimizing the use of therunway. the most important factors in aircraft landing modeling are time and cost. for this reason,aircraft landing scheduling problem (aslp) is a typical hard multi-constraint optimizationproblem and finding its efficient solution would be very difficult. so in real applications findingthe best solution is not the most important issue and providing a feasible landing schedule in anacceptable time would be the preferred requirement. in this study a three objectives formulation ofthe problem proposed as a mathematical programming model on a runway in static mode. problemis solved by multi-objective genetic algorithm (nsga-ii) and multi-objective particle swarmoptimization algorithm (mopso). considering a group of 20 aircrafts, this problem is solved andlanding sequence determined and we are shown the obtained sequence does not follow first comefirst serve law for sequencing as well. finally by comparing results, conclusion and suggestionsare proposed.
کلیدواژه Aircraft Landing Scheduling Problem ,(Expected Landing Time (Elt ,(Scheduled Landing Time (Slt ,Nsga-Ii Algorithm ,Mopso Algorithm
آدرس Islamic Azad University, Msc Student Of Transportation Planning, Science And Research Branch, Islamic Azad University, Tehran, Iran, ایران, University Of Tehran, Assistant Professor, School Of Engineering Science, College Of Engineering, University Of Tehran, Tehran, Iran , ایران, Tarbiat Modares University, Professor, Tarbiat Modares University, Head Of Parseh Transportation Research Institute, Tehran, Iran , ایران, Oklahoma State University, Ph D Student, Department Of Industrial Engineering And Management, Oklahoma State University, Oklahoma, Usa , امریکا

Copyright 2023
Islamic World Science Citation Center
All Rights Reserved