Research Article
Research on Global Path Planning of Robot Based on Ant Colony Algorithm and Gaussian Sampling
Table 7
Simulation results of PSO, GA, and S-IACO algorithms.
| Map environment | Algorithm | Path length (m) | Iterations | Simulation time (s) |
| 30 × 30 environment map (Figure 8(a)) | PSO | 52.65 | 49 | 11.89 | GA | 51.87 | 53 | 12.63 | S-IACO | 49.36 | 35 | 9.10 |
| 30 × 30 environment map (Figure 8(b)) | PSO | 52.79 | 48 | 12.07 | GA | 54.87 | 53 | 13.43 | S-IACO | 49.36 | 35 | 9.51 |
| 30 × 30 environment map (Figure 8(c)) | PSO | 53.29 | 46 | 11.17 | GA | 54.63 | 50 | 12.56 | S-IACO | 44.52 | 40 | 9.70 |
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