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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.cloudbalancing.domain.CloudBalance</solutionClass>
  <planningEntityClass>org.drools.planner.examples.cloudbalancing.domain.CloudAssignment</planningEntityClass>
  <scoreDrl>/org/drools/planner/examples/cloudbalancing/solver/cloudBalancingScoreRules.drl</scoreDrl>
  <scoreDefinition>
    <scoreDefinitionType>HARD_AND_SOFT</scoreDefinitionType>
  </scoreDefinition>
  <constructionHeuristic>
    <constructionHeuristicType>FIRST_FIT_DECREASING</constructionHeuristicType>
    <constructionHeuristicPickEarlyType>FIRST_LAST_STEP_SCORE_EQUAL_OR_IMPROVING</constructionHeuristicPickEarlyType>
  </constructionHeuristic>
  <localSearch>
    <termination>
      <maximumSecondsSpend>120</maximumSecondsSpend>
    </termination>
    <selector>
      <selector>
        <moveFactoryClass>org.drools.planner.examples.cloudbalancing.solver.move.factory.CloudComputerChangeMoveFactory</moveFactoryClass>
      </selector>
      <selector>
        <moveFactoryClass>org.drools.planner.examples.cloudbalancing.solver.move.factory.CloudAssignmentSwitchMoveFactory</moveFactoryClass>
      </selector>
    </selector>
    <acceptor>
      <completeSolutionTabuSize>1000</completeSolutionTabuSize>
      <completePropertyTabuSize>7</completePropertyTabuSize>
    </acceptor>
    <forager>
      <minimalAcceptedSelection>1000</minimalAcceptedSelection>
    </forager>
  </localSearch>
</solver>