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mod readme and changelog
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CHANGELOG.md
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CHANGELOG.md
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Change-log
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==========
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**v1.1.0** @ 2014-01-27
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<em>jsprit-core:</em>
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- added javadocs (VehicleRoutingProblem and classes in package vehicle. and job.)
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- added unit-tests (for classes in package vehicle., job. and io.)
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- deprecated methods in VehicleRoutingProblem, VehicleTypeImpl, VehicleImpl
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- added func in VehicleRoutingProblem.Builder (.addPenaltyVehicle(...) methods)
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- added feature: open-routes ([#54](https://github.com/jsprit/jsprit/issues/54))
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- added func in VehicleImpl and VehicleImpl.Builder (.setReturnToDepot(...), isReturnToDepot())
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- added feature: prohibit vehicles to take over entire route ([#70](https://github.com/jsprit/jsprit/issues/70))
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- fixed bug: [#58](https://github.com/jsprit/jsprit/issues/58),[#76](https://github.com/jsprit/jsprit/issues/76)-[#79](https://github.com/jsprit/jsprit/issues/79)
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- inspected and removed all warnings
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<em>jsprit-analysis:</em>
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- added GraphStreamViewer
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- inspected and removed all warnings
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<em>jsprit-example:</em>
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- added BicycleMessenger
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- enriched examples with GraphStreamViewer
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- inspected and removed all warnings
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<em>jsprit-instance:</em>
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- added VrphGoldenReader (plus instances to bechmark VRPH)
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- inspected and removed all warnings
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**v1.0.0** @ 2013-11-26 (break change)
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- re-organized API
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jsprit
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======
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jsprit is a java based, open source toolkit for solving rich <a href="http://en.wikipedia.org/wiki/Travelling_salesman_problem" target="_blank">traveling salesman</a> (TSP) and <a href="http://neo.lcc.uma.es/vrp/vehicle-routing-problem/" target="_blank">vehicle routing problems</a> (VRP).
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It is lightweight, flexible and easy-to-use, and based on a single all-purpose <a href="http://www.sciencedirect.com/science/article/pii/S0021999199964136" target="_blank">meta-heuristic</a> currently solving
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It is lightweight, flexible and easy-to-use, and based on a single all-purpose <a href="https://github.com/jsprit/jsprit/wiki/Meta-Heuristic-and-Configuration" target="_blank">meta-heuristic</a> currently solving
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- Capacitated VRP
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- Multiple Depot VRP
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- VRP with Time Windows
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@ -16,10 +16,6 @@ It is lightweight, flexible and easy-to-use, and based on a single all-purpose <
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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.
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Additionally, jsprit can be used along with <a href="http://www.matsim.org" target="blank_">MATSim</a>
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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*
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can be used, and a dynamic and interactive visualiser greatly enhances the analysis.
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##In Development
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- continues improvement of code, handling and performance
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- soft constraints
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