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- W2911444497 abstract "Flight scheduling is a key issue in Air Traffic Control (ATC). ATC can monitor the flight time conformance based on the 4D-Trajectory (4DT) in civil air transportation system. Then we can control the aircrafts' arriving time at the airlines' melting point by adjusting the aircrafts' take-off waiting time. Through this method, both the flight scheduling efficiency and the airspace safety can be improved. The flight schedule is a complex problem requiring large-scale combinatorial optimization, because of the dense flight plans and air routes distribution in civil aviation. This paper proposes an improved Memetic Algorithm (MA) to solve the flight scheduling problem. The algorithm combines local search with global search strategy and uses the Parallel Memetic Algorithm Dynamic Local Search (PMA-DLS) sampling strategy to control the number of local search sampling. Meanwhile, this paper estimates the 4DT time conformance boundary by convex optimization, based on actual flight data in scenario-based approach. The flight scheduling should meet the time conformance boundary. Experiments in actual flight data prove that the proposed algorithm is better than the existing Genetic Algorithm (GA) and more robust than the general MA, and, at the same time, the average waiting time is significantly reduced." @default.
- W2911444497 created "2019-02-21" @default.
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- W2911444497 date "2018-07-01" @default.
- W2911444497 modified "2023-10-17" @default.
- W2911444497 title "An Approach of Flight Scheduling Optimization Meet the Time Conformance Monitoring" @default.
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- W2911444497 doi "https://doi.org/10.1109/wcica.2018.8630490" @default.
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