VRPy

VRPy is a Python-based roof developed to solve Vehicle Routing Problems (VRP). Capacity VRP supports a variety of VRP types, such as resource constraints, time windows, simultaneous distribution and collection, and heterogeneous fleet.

VR

benji-r · Fleet & Logistics

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UPDATED3 yr ago
PythonRoutingVehicle RoutingOptimizationMIT

Common commercial products in this category: Samsara, Fleetio, Geotab

What can it do?
  • You calculate the optimal routes for capacity vehicle routing problems.
  • You solve the routing problem with time windows and resource constraints.
  • You model scenarios that include simultaneous distribution and collection.
Heads up
  • • Last update 3 years ago
  • • No published release
User reviews
  • • NeutralGitHub Issue

    reproducibility of results

    “Running my CVRP script multiple times with the same input data lead to results, which differ almost all the time. As I need reproducible results the solution should always look the same. If this is the initial solution: 1: ['Source', '11', '3', '5', '9', '6', 'Sink'], (III) 2:…”

  • ↓ NegativeGitHub Issue

    Testing: Benchmark Instances

    “That's cool ! I also tested the Solomon case with the 50 first vertices and with the LP version of the sub problem and was able to find the solution of the benchmarks. This is reassuring !The solution is plotted below : ![image]( For the speed we will probably have to do some…”

My note

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