Research Article
The Application of an Adaptive Genetic Algorithm Based on Collision Detection in Path Planning of Mobile Robots
| Trial 1 | Trial 2 | Trial 3 | Trial 4 | Trial 5 | Average fitness | Factor (X) | X1 | X2 | X3 | X4 | X5 |
| 0.1386 | 0.2398 | 0.2551 | 0.2132 | 0.2398 | 0.2173 | −0.2173 | −0.2173 | −0.2173 | −0.2173 | 0 | 0.2398 | 0.2398 | 0.2336 | 0.2286 | 0.2169 | 0.2317 | −0.2317 | 0 | 0 | 0 | 0.2317 | 0.2582 | 0.2337 | 0.2378 | 0.2337 | 0.2132 | 0.2353 | −0.2353 | 0.2353 | 0.2353 | 0.2353 | −0.2353 | 0.2398 | 0.2398 | 0.2336 | 0.2804 | 0.4392 | 0.2866 | 0 | −0.2866 | 0 | 0.2866 | 0.2866 | 0.2398 | 0.2398 | 0.1364 | 0.2398 | 0.1364 | 0.1984 | 0 | 0 | 0.1984 | −0.1984 | −0.1984 | 0.2857 | 0.4392 | 0.2112 | 0.24 | 0.2398 | 0.2832 | 0 | 0.2832 | −0.2832 | 0 | 0 | 0.2219 | 0.2857 | 0.1386 | 0.2398 | 0.2378 | 0.2248 | 0.2248 | −0.2248 | 0.2248 | 0 | −0.2248 | 0.2398 | 0.2378 | 0.2398 | 0.2114 | 0.2398 | 0.2337 | 0.2337 | 0 | −0.2337 | 0.2337 | 0 | 0.2398 | 0.2398 | 0.2378 | 0.2453 | 0.4692 | 0.2864 | 0.2864 | 0.2864 | 0 | −0.2864 | 0.2864 | Average | 0.24416 | 0.00673 | 0.00847 | −0.00841 | 0.00594 | 0.01624 |
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