Research Article

UAV Path Planning under Dynamic Threats Using an Improved PSO Algorithm

Table 5

Mean costs and standard deviations for 20 test cases with 50 Monte Carlo simulations.

Test caseProposed PSOStandard PSOTraditional PSOVoronoi+Dijkstra
MeanStd.MeanStd.MeanStd.

Short-range1108663271423522672221923504 (4)20378
2113502161611919152380525718 (5)17307
3107494561318111501917120889 (3)21756
4151577691856316662625824972 (5)21965
510537401117686461378412641 (1)17178
6126083601725733083008226381 (6)18965
7143866832111027232682219301 (3)22642
8111955981392313062080823666 (4)17075
913491540143437172126223528 (4)20666
10107381651307715282639230103 (7)19016
Long-range1187786039119322125 (43)5777534965 (20)25905
22208316079 (2)6545634974 (25)5160636769 (18)26516
3180757208025432012 (36)3375924915 (6)26599
4200484447757931665 (33)4330228814 (10)26974
5167852526600937244 (27)3254327653 (7)23331
6193483267977231287 (35)4549431164 (12)24194
7174644258512628380 (39)5075335890 (17)24646
8158813415498837221 (20)3626530304 (9)21285
9173073286514336748 (26)3856231154 (10)25634
10176296208074931246 (36)3905829049 (9)22688