org.drools.planner.examples.cloudbalancing.solver.cloudBalancingSolverConfig.xml Maven / Gradle / Ivy

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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>-->

  <!-- Domain model configuration -->
  <solutionClass>org.drools.planner.examples.cloudbalancing.domain.CloudBalance</solutionClass>
  <planningEntityClass>org.drools.planner.examples.cloudbalancing.domain.CloudProcess</planningEntityClass>

  <!-- Score configuration -->
  <scoreDirectorFactory>
    <scoreDefinitionType>HARD_AND_SOFT</scoreDefinitionType>
    <!--<simpleScoreCalculatorClass>org.drools.planner.examples.cloudbalancing.solver.score.CloudBalancingSimpleScoreCalculator</simpleScoreCalculatorClass>-->
    <!--<incrementalScoreCalculatorClass>org.drools.planner.examples.cloudbalancing.solver.score.CloudBalancingIncrementalScoreCalculator</incrementalScoreCalculatorClass>-->
    <scoreDrl>/org/drools/planner/examples/cloudbalancing/solver/cloudBalancingScoreRules.drl</scoreDrl>
  </scoreDirectorFactory>

  <!-- Optimization algorithms configuration -->
  <termination>
    <maximumSecondsSpend>120</maximumSecondsSpend>
  </termination>
  <constructionHeuristic>
    <constructionHeuristicType>FIRST_FIT_DECREASING</constructionHeuristicType>
    <constructionHeuristicPickEarlyType>FIRST_LAST_STEP_SCORE_EQUAL_OR_IMPROVING</constructionHeuristicPickEarlyType>
  </constructionHeuristic>
  <localSearch>
    <selector>
      <selector>
        <moveFactoryClass>org.drools.planner.core.move.generic.GenericChangeMoveFactory</moveFactoryClass>
      </selector>
      <selector>
        <moveFactoryClass>org.drools.planner.core.move.generic.GenericSwapMoveFactory</moveFactoryClass>
      </selector>
    </selector>
    <acceptor>
      <planningEntityTabuSize>7</planningEntityTabuSize>
    </acceptor>
    <forager>
      <minimalAcceptedSelection>1000</minimalAcceptedSelection>
    </forager>
  </localSearch>
</solver>