Research Article
Optimal Facility Location Model Based on Genetic Simulated Annealing Algorithm for Siting Urban Refueling Stations
Table 4
Algorithm parameter sensitivity analysis results.
| Parameter | Population size | Crossover rate | Mutation rate | Iterations | Calculating time | Bypass time |
| Optimization scheme | 100 | 0.9 | 0.04 | 876 | 24′46′′ | 6688′ | Test scheme 1 | 90 | 0.9 | 0.04 | 704 | 20′15′′ | 6847′ | Test scheme 2 | 110 | 0.9 | 0.04 | 991 | 32′51′′ | 6688′ | Test scheme 3 | 100 | 0.85 | 0.04 | 657 | 18′34′′ | 7351′ | Test scheme 4 | 100 | 0.95 | 0.04 | 1324 | 40′42′′ | 6688′ | Test scheme 5 | 100 | 0.9 | 0.03 | 754 | 21′23′′ | 7023′ | Test scheme 6 | 100 | 0.9 | 0.05 | 1521 | 51′34′′ | 6688′ |
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