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Advances, Systems and Applications

Table 6 Experiments for Performance Improvement using Self-Adaptive Parameters

From: Grid-Based coverage path planning with NFZ avoidance for UAV using parallel self-adaptive ant colony optimization algorithm in cloud IoT

 

Parameters

CPP model1

CPP model2

 

n

q

\(\eta\)

Best

Mean

Worst

Best

Mean

Worst

ACO1

5

10

0.001

46

46.31

48

268.64

306.77

397.00

ACO2

10

20

0.01

45.32

46.29

49

242.20

263.62

300.10

ACO3

20

50

0.1

45.32

45.52

46

214.15

227.81

254.74

ACO4

50

100

1

45.32

45.32

45.32

212.65

224.73

244.07

PSAACO

Self-Adaptive

45.32

45.32

45.32

208

224.78

259.54