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Overview: Models and Algorithms

  • Mixed integer multicommodity flow models (with time slices)
  • Mixed integer network design models
  • Multi-allocation-models (individual routing for each transport relation) including real world transport costs based on required vehicles
  • Two-stage stochastic optimization models
  • Set partitioning & set covering models with additional constraints
  • Lagrange relaxation & subgradient optimization
  • Column generation algorithms
  • Resource constrained shortest path algorithms
  • Branch-and-price-and-cut algorithms
  • Evolutionary algorithms
  • Problem specific heuristics / Matheuristics
  • Savings-algorithms & k-opt operators
  • Scenario decomposition

Contact: M. Sc. Nicolas Kämmerling