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Fig 1.

Schematic diagram of the shared UAV scheduling framework.

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Table 1.

UAV airport information.

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Table 1 Expand

Table 2.

UAV information.

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Table 2 Expand

Table 3.

UAV information.

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Table 3 Expand

Table 4.

Real coding change to natural number coding for SLALO.

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Table 5.

Mission path of SUCS UAV in shared mode.

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Table 6.

The needs of passengers.

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Table 6 Expand

Table 7.

UAV information.

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Table 7 Expand

Fig 2.

Passenger needs and airport location.

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Fig 3.

Minimum result of total time in multi-airport systems based on passenger needs.

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Fig 4.

UAV route planning results under soft time window constraints (small-scale case).

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Table 8.

UAV airport information.

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Table 8 Expand

Table 9.

The needs of passengers.

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Table 9 Expand

Fig 5.

Convergence curves of GA, PSO, ALO, and SLALO for the large-scale case (total time minimization).

The vertical axis labeled “Adaptation value” represents the objective function value, i.e., total navigation time (minutes).

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Fig 5 Expand

Fig 6.

Large scale total time consuming minimum UAV allocation routes incorporating multi-airport issues.

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Fig 6 Expand

Fig 7.

Convergence curves for total cost minimization under soft time window constraints (large-scale case).

The vertical axis labeled “Adaptation value” represents the objective function value, i.e., total cost (RMB).

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Fig 7 Expand

Fig 8.

Large-scale total consumption drone allocation routes that include multiairport issues.

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Fig 8 Expand

Table 10.

The needs of passengers.

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Table 10 Expand