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@ -17,7 +17,7 @@ It is lightweight, flexible and easy-to-use, and based on a single all-purpose [
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- Various combination of these types
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Setting up the problem, defining additional constraints, modifying the algorithms and visualising the discovered solutions is as easy and handy as
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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 ...](../docs/Features.textile)
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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 ...](https://github.com/graphhopper/jsprit/blob/master/docs/Features.textile)
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## Getting Started with Documentation
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Please visit [docs](https://github.com/graphhopper/jsprit/blob/master/docs/Home.md) to learn more.The best way to get to know jsprit is by looking at [code examples](https://github.com/graphhopper/jsprit/tree/master/jsprit-examples/src/main/java/com/graphhopper/jsprit/examples).
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