diff --git a/CHANGELOG.md b/CHANGELOG.md
index 28122e2a..11b8a3fd 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,31 @@
Change-log
==========
+**v1.1.0** @ 2014-01-27
+
+jsprit-core:
+- added javadocs (VehicleRoutingProblem and classes in package vehicle. and job.)
+- added unit-tests (for classes in package vehicle., job. and io.)
+- deprecated methods in VehicleRoutingProblem, VehicleTypeImpl, VehicleImpl
+- added func in VehicleRoutingProblem.Builder (.addPenaltyVehicle(...) methods)
+- added feature: open-routes ([#54](https://github.com/jsprit/jsprit/issues/54))
+- added func in VehicleImpl and VehicleImpl.Builder (.setReturnToDepot(...), isReturnToDepot())
+- added feature: prohibit vehicles to take over entire route ([#70](https://github.com/jsprit/jsprit/issues/70))
+- 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)
+- inspected and removed all warnings
+
+jsprit-analysis:
+- added GraphStreamViewer
+- inspected and removed all warnings
+
+jsprit-example:
+- added BicycleMessenger
+- enriched examples with GraphStreamViewer
+- inspected and removed all warnings
+
+jsprit-instance:
+- added VrphGoldenReader (plus instances to bechmark VRPH)
+- inspected and removed all warnings
+
**v1.0.0** @ 2013-11-26 (break change)
- re-organized API
diff --git a/README.md b/README.md
index d8c24e67..22d84746 100644
--- a/README.md
+++ b/README.md
@@ -1,7 +1,7 @@
jsprit
======
jsprit is a java based, open source toolkit for solving rich traveling salesman (TSP) and vehicle routing problems (VRP).
-It is lightweight, flexible and easy-to-use, and based on a single all-purpose meta-heuristic currently solving
+It is lightweight, flexible and easy-to-use, and based on a single all-purpose meta-heuristic currently solving
- Capacitated VRP
- Multiple Depot VRP
- VRP with Time Windows
@@ -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
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 MATSim
-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
- continues improvement of code, handling and performance
- soft constraints