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@ -16,10 +16,6 @@ It is lightweight, flexible and easy-to-use, and based on a single all-purpose <
Setting up the problem, defining additional constraints, modifying the algorithms and visualising the discovered solutions is as easy and handy as 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.
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*
can be used, and a dynamic and interactive visualiser greatly enhances the analysis.
##In Development ##In Development
- continues improvement of code, handling and performance - continues improvement of code, handling and performance
- soft constraints - soft constraints