Research Article
The Application of an Adaptive Genetic Algorithm Based on Collision Detection in Path Planning of Mobile Robots
| AGACD | Start grid number | 0 | Target grid number | 2499 | Initial population size | 80 | Number of iterations | 500 | Crossover probability | pc_high | 0.9 | pc_low | 0.75 | Mutation probability | pm_high | 0.3 | pm_low | 0.15 |
| BGA | Start grid number | 0 | Target grid number | 2499 | Initial population size | 60 | Number of iterations | 500 | Crossover probability | 0.9 | Mutation probability | 0.3 |
| MPMGA | Start grid number | 0 | Target grid number | 2499 | Initial population size | 45 | The size of each small population | 15 | Number of iterations | 500 | Crossover probability | High crossover probability | 0.8 | Low crossover probability | 0.3 | Mutation probability | High mutation probability | 0.6 | Low mutation probability | 0.1 | Accuracy coefficient | 1 | Initial temperature | 1 | Temperature decay rate | 0.9 |
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