Instances repository OR.ingce Instances and solutions for CVRP, ACVRP, DCVRP and VRPB.
Created and maintained by John Beasley is one of the main repositories of routing related test instances. It includes test instances for many other optimization problems.
Benchmark instances and some solutions can be found for: – the orienteering problem (OP) – the team OP (TOP) – the (T)OP with Time Windows (TOPTW) – the mult-constraint TOP with (multiple) time windows (MCTOPMTW).
The SBRPLIB is a depository of test instances of the School Bus Routing Problem. The depository of instances can be downloaded for others researchers for experimentation.
Benchmark instances and best known LB and UB for the CARP. Maintained at the University of Mainz, Germany.
A library of Maritime Inventory Routing Problem instances maintained at Georgia Tec.
LINERLIB 2012 – A benchmark data set for Operations Research in Liner Shipping Network Design. Developed in cooperation with a liner shipping company to encourage research in this important field.
The Microsoft Excel workbook “VRP Spreadsheet Solver” developed by G. Erdogan is the first open source unified platform for solving, and visualising the results of VRPs. It unifies Excel, public GIS and methauristics. It can solve VRPs of size up to 200, and it is still in beta testing phase.
The Microsoft Excel workbook “FLP Spreadsheet Solver” developed by G. Erdogan is an open source unified platform for solving, and visualising the results of Facility Location Problems (VRPs). It can solve Facility Location Problems of size up to 200, and it is still in beta testing phase.
An Excel-compatible open source application with support for geocoding, mapping, territory design and vehicle routing.
The Microsoft Excel workbook “BPP Spreadsheet Solver” is an open source unified platform for representing, solving, and visualising the results of Bin Packing Problems (BPPs). It can solve BPPs with up to 200 items and 50 bins.
The Microsoft Excel workbook “CLP Spreadsheet Solver” is an open source tool for representing, solving, and visualising the results of 3D Bin Packing Problems, also known as Container Loading Problems (CLPs).