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@ -14,7 +14,7 @@ It is lightweight, flexible and easy-to-use, and based on heuristics currently s
- 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.
reading classical VRP instances to benchmark your algorithm. It is fit for change and extension due to a modular approach and a comprehensive set of unit-tests.
Additionally, jsprit can be used along with <a href="http://www.matsim.org" target="blank_">MATSim</a>
to solve the above problem-types in real networks (i.e. without preprocessing transport times and costs). A variety of least cost path algorithms such as Dijkstra and A*