Set variables have been added to the solver. This kind of variable is a powerful and compact way to model packing problems and solve them efficiently. For an example, please have a look at the LocalSolver model for the bin packing problem.
This release brings performance improvements for routing and scheduling problems, especially Pickup & Delivery problems.
The learning algorithm enabling LocalSolver to automatically tune up its search process has been improved. This leads to improved performance, especially for short resolution times (minutes).
Added the global function
set()to add set variables to a model.
Added the method
LSModel.setVar()to create set variables.
Added the operator