Hi, i'm evaluating Drools Planner as a solver for a "normal" OP problem but i can't find any example of drools usage on problems with partial set as a feasible solution, all drools examples and use cases seems to always try to plan every object even if that makes the solution unfeasible. I was able to model a OP problem using a modified version of the vehicle routing example using two vehicles, one for containing the customers visited (real solution) and a second vehicle for containing customers not visited. It works OK but this approach seems very dirty... Doesn't Drools Planner support a partial set solution that is feasible but doesn't have to contain all problem facts? Maybe a parameter to allow partial set solutions, and if so, be able to define the minimal problem facts needed to consider a posible solution. I was expecting that at least in the contruction phase the planner found some feasible solutions, since each step it is putting one element in the solution and then evaluating score, but found that the best solution passed to local seach isn't the best feasible solution of the contruction phase but always a unfeasible solution because somehow it's forcing to contains all problem facts. Is this correct? Best regards, Rui -- View this message in context: http://drools.46999.n3.nabble.com/Selective-TSP-tp4022903.html Sent from the Drools: User forum mailing list archive at Nabble.com.