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Abstract

The present application relates to a multi-objective collaborative optimization approach for large-scale air traffic management, which belongs to the technical field of civil aviation management. The present application includes generating a delay time vector and a first delay time for each flight; grouping all the flights to get multiple flight groups based on the overlap of flight times; using a delay time vector of each flight in each flight group to generate a subspecies group, crossing each subspecies group to generate children in turn, obtaining a delay variable of each flight and make mutation, and after multiple evolutions, taking a solution as the second delay time of the corresponding flight, updating the first delay time of each flight to the second delay time, and the first delay time obtained after several cycles is used to control the departure time of the corresponding flight.

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