Research Article
Application of Genetic Algorithms for Driverless Subway Train Energy Optimization
Table 1
Energy saving achievable with different optimization methods [
26].
| Optimization methods | Energy saving with EED as compared to nonoptimized driving |
| Nonlinear programming | Up to 25% | Fuzzy logic | From 25% to 30% | Genetic algorithm | From 30% to 40% |
|
|