Automatic Train Operation

Problem Description

Automatic Train Operation Pipeline. Optimizing parameter values of the modules in the automation pipeline, minimizing energy consumption & driving duration

Why was tailoring needed?

Baseline algorithm that was tailored (if it exists), motivation for choice: MO-SMAC (large search space and low budget), NSGA-II

Baseline algorithm

No response

Tailoring process

  • What was tailored (Problem model, mutation operator)
  • Faster evaluations through a more efficient implementation
  • Add penalty if solution is not applicable

What was tailored

No response

Main problem characteristics

  • 10 dimensions
  • Multi-objective (2 objectives)
  • Mixed types of variables (continuous, discrete)
  • Deterministic
  • Evaluations (~5-30mins)

References

No response

Contact information (optional)

No response

Author

Carolin Mensendiek No response