Research Article

The Application of an Adaptive Genetic Algorithm Based on Collision Detection in Path Planning of Mobile Robots

Table 5

Test data.

Trial 1Trial 2Trial 3Trial 4Trial 5Average fitnessFactor (X)
X1X2X3X4X5

0.13860.23980.25510.21320.23980.2173−0.2173−0.2173−0.2173−0.21730
0.23980.23980.23360.22860.21690.2317−0.23170000.2317
0.25820.23370.23780.23370.21320.2353−0.23530.23530.23530.2353−0.2353
0.23980.23980.23360.28040.43920.28660−0.286600.28660.2866
0.23980.23980.13640.23980.13640.1984000.1984−0.1984−0.1984
0.28570.43920.21120.240.23980.283200.2832−0.283200
0.22190.28570.13860.23980.23780.22480.2248−0.22480.22480−0.2248
0.23980.23780.23980.21140.23980.23370.23370−0.23370.23370
0.23980.23980.23780.24530.46920.28640.28640.28640−0.28640.2864
Average0.244160.006730.00847−0.008410.005940.01624