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Drools Planner optimizes automated planning by combining metaheuristic search algorithms with rule engine powered score calculation. This is the drools-planner-examples module which contains examples on how to use Drools Planner.

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<?xml version="1.0" encoding="UTF-8"?>
<solver>
  <!--<environmentMode>DEBUG</environmentMode>-->
  <solutionClass>org.drools.planner.examples.tsp.domain.TravelingSalesmanTour</solutionClass>
  <planningEntityClass>org.drools.planner.examples.tsp.domain.CityAssignment</planningEntityClass>
  <scoreDrl>/org/drools/planner/examples/tsp/solver/tspScoreRules.drl</scoreDrl>
  <scoreDefinition>
    <scoreDefinitionType>SIMPLE</scoreDefinitionType>
  </scoreDefinition>
  <termination>
    <maximumMinutesSpend>10</maximumMinutesSpend>
  </termination>
  <customSolverPhase>
    <customSolverPhaseCommandClass>org.drools.planner.examples.tsp.solver.solution.initializer.TspStartingSolutionInitializer</customSolverPhaseCommandClass>
  </customSolverPhase>
  <localSearch>
    <selector>
      <moveFactoryClass>org.drools.planner.examples.tsp.solver.move.factory.SubTourChangeMoveFactory</moveFactoryClass>
    </selector>
    <acceptor>
      <completeSolutionTabuSize>1000</completeSolutionTabuSize>
      <completePropertyTabuSize>7</completePropertyTabuSize>
    </acceptor>
    <forager>
      <pickEarlyType>NEVER</pickEarlyType>
      <minimalAcceptedSelection>10000</minimalAcceptedSelection>
    </forager>
  </localSearch>
</solver>