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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.vehiclerouting.domain.VrpSchedule</solutionClass>
  <planningEntityClass>org.drools.planner.examples.vehiclerouting.domain.VrpCustomer</planningEntityClass>

  <scoreDirectorFactory>
    <scoreDefinitionType>HARD_AND_SOFT</scoreDefinitionType>
    <scoreDrl>/org/drools/planner/examples/vehiclerouting/solver/vehicleRoutingScoreRules.drl</scoreDrl>
  </scoreDirectorFactory>

  <termination>
    <maximumMinutesSpend>2</maximumMinutesSpend>
  </termination>
  <constructionHeuristic>
    <constructionHeuristicType>FIRST_FIT_DECREASING</constructionHeuristicType>
  </constructionHeuristic>
  <localSearch>
    <unionMoveSelector>
      <changeMoveSelector/>
      <swapMoveSelector/>
      <subChainChangeMoveSelector>
        <selectReversingMoveToo>false</selectReversingMoveToo>
      </subChainChangeMoveSelector>
      <subChainSwapMoveSelector>
        <selectReversingMoveToo>false</selectReversingMoveToo>
      </subChainSwapMoveSelector>
    </unionMoveSelector>
    <acceptor>
      <planningEntityTabuSize>9</planningEntityTabuSize>
    </acceptor>
    <forager>
      <minimalAcceptedSelection>2000</minimalAcceptedSelection>
    </forager>
  </localSearch>
  <!--<localSearch>-->
    <!--<unionMoveSelector>-->
      <!--<changeMoveSelector/>-->
      <!--<swapMoveSelector/>-->
      <!--<subChainChangeMoveSelector/>-->
    <!--</unionMoveSelector>-->
    <!--<acceptor>-->
      <!--<simulatedAnnealingStartingTemperature>10</simulatedAnnealingStartingTemperature>-->
    <!--</acceptor>-->
    <!--<forager>-->
      <!--<minimalAcceptedSelection>4</minimalAcceptedSelection>-->
    <!--</forager>-->
  <!--</localSearch>-->
</solver>




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