Fig 1.
An example of UAV flight plan for multiple disaster areas.
Table 1.
Notations used in the Heat Conduction Model.
Fig 2.
Sketch of multi-objective optimization [26].
Fig 3.
Example of a solution.
Table 2.
Representation scheme 1: Vehicle-oriented coding.
Table 3.
Representation scheme 2: Destination-oriented coding.
Table 4.
Representation scheme 3.
Fig 4.
Example of PMX operation.
Fig 5.
Mutation operators.
Fig 6.
Results of nearest neighbor reorganization.
Fig 7.
MOEA/D-N-UVRP that is based on the framework of the MOEA/D for UCVRP, where the main adjustment is in the dashed box.
Fig 8.
The temperature of the water (T1) and the blood (T2) change with time in the given circumstance.
Fig 9.
Temperature changes with time in the case of different weight of hot water and blood.
Note: Red line represents the blood temperature is beyond the appropriate range.
Fig 10.
Temperature changes with time.
Green line represents an appropriate time interval of arrival.
Table 5.
Proportions between hot water and blood.
Fig 11.
Using frequency of each proportion in Table 5 for instance E-n101-k14 according to different MaxY values.
MaxY is set as 150 and 30 for (a) and (b) respectively.
Table 6.
Algorithm parameters setting.
Fig 12.
Optimization results of MOEA/D-N-UAV on instance E-n23-k3.
Fig 13.
Optimization results of MOEA/D-N-UAV on instance E-n101-k14.
Table 7.
Computational results of numerical experiments.
Table 8.
Detailed optimization results of MOEA/D-N-UAV on instance E-n23-k3 and E-n101-k14.
Fig 14.
Relations between number of iterations and time cost of MOEA/D-N-UCVRP, NSGAII- UCVRP and MOEA/D- UCVRP.