optaplanner

I'm trying to implement custom cloning in my solution, i followed the instructions as in the documentation, and i encountered a roadblock in the form of this exception : The entity was never added to this ScoreDirector. Maybe that specific instance is not in the return values of the PlanningSolution's entity members . I know that this is not true because before the custom cloning, this exception wasn't thrown. My planningClone method is setup like this : @Override public Solution planningClone() { Solution clonedSolution = new Solution(); clonedSolution.id = id; clonedSolution.code = code;

I just started using Optaplanner. Usually in local search metaheuristics, it is common to start from multiple initial solutions in the search space and try to improve them in parallel. That way we decrease the risk of falling in a local optimum and we choose the final solution with the best score. Is there a similar feature in Optaplanner where I could say, for example, start solving using those 100 initial solutions? Thanks, Antoine Not out-of-the-box, but it's trivial too add (and I have done so in the past). Just start n threads, using their own Solver. At the end, take the solution of the

Is there any way to enable nearby selection in Optaplanner for the subChainChangeMoveSelector or subChainSwapMoveSelector? I have successfully enabled it for the tail move selector as follows: <tailChainSwapMoveSelector> <entitySelector id="tcsm1"/> <valueSelector> <variableName>prevReq</variableName> <nearbySelection> <originEntitySelector mimicSelectorRef="tcsm1"/> <nearbyDistanceMeterClass>NearbyMeterTransportChain</nearbyDistanceMeterClass> </nearbySelection> </valueSelector> </tailChainSwapMoveSelector> However, the same config for any of the two chained movemenents returns an XStream

As of now Opta Planner planner provides support for: Tabu Search. Simulated Annealing. However if i need to implement any other algorithm like Genetic Algorithm with Opta Planner then where and how could it could be used. I have got the code of genetic algorithm, however i don't know how to integrate it with Opta planner. I found few places where it may be possible. Inside custom Score class. Inside custom Move class. Inside custom MoveFactory class. In the XML configuration file. Kindly guide where i need to do the modification. Thanks Actually, a student (Sam Van Malderen) already forked

so basically my problem is, that OptaPlanner is throwing this: java.lang.IllegalStateException: The entity (...) has a variable (previousEntry) with value (...) which has a sourceVariableName variable (nextEntry) with a value (...) which is not null. Verify the consistency of your input problem for that sourceVariableName variable. at org.optaplanner.core.impl.domain.variable.inverserelation.SingletonInverseVariableListener.insert(SingletonInverseVariableListener.java:72) at org.optaplanner.core.impl.domain.variable.inverserelation.SingletonInverseVariableListener.afterVariableChanged