首页> 中文期刊> 《南京航空航天大学学报:英文版》 >Optimization Method for Departure Flight Scheduling Problem Based on Genetic Algorithm

Optimization Method for Departure Flight Scheduling Problem Based on Genetic Algorithm

         

摘要

Except for the bad weather or other uncontrollable reasons,a reasonable queue of departure and arrival flights is one of the important methods to reduce the delay on busy airports.Here focusing on the Pareto optimization of departure flights,the take-off sequencing is taken as a single machine scheduling problem with two objective functions,i.e.,the minimum of total weighted delayed number of departure flights and the latest delay time of delayed flight.And the integer programming model is established and solved by multi-objective genetic algorithm.The simulation results show that the method can obtain the better goal,and provide a variety of options for controllers considering the scene situation,thus improving the flexibility and effectivity of flight plan.

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