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@ -14,7 +14,7 @@ It is lightweight, flexible and easy-to-use, and based on a single all-purpose <
- Various combination of these types
Setting up the problem, defining additional constraints, modifying the algorithms and visualising the discovered solutions is as easy and handy as
reading classical VRP instances to benchmark your algorithm. It is fit for change and extension due to a modular design and a comprehensive set of unit and integration-tests.
reading classical VRP instances to benchmark your algorithm. It is fit for change and extension due to a modular design and a comprehensive set of unit and integration-tests. [More features ...]()
##In Development
- continues improvement of code, handling and performance