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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.nqueens.domain.NQueens</solutionClass>
  <planningEntityClass>org.drools.planner.examples.nqueens.domain.Queen</planningEntityClass>
  <scoreDrl>/org/drools/planner/examples/nqueens/solver/nQueensScoreRules.drl</scoreDrl>
  <scoreDefinition>
    <scoreDefinitionType>SIMPLE</scoreDefinitionType>
  </scoreDefinition>

  <termination>
    <scoreAttained>0</scoreAttained>
  </termination>
  <constructionHeuristic>
    <constructionHeuristicType>FIRST_FIT_DECREASING</constructionHeuristicType>
    <constructionHeuristicPickEarlyType>FIRST_LAST_STEP_SCORE_EQUAL_OR_IMPROVING</constructionHeuristicPickEarlyType>
  </constructionHeuristic>
  <localSearch>
    <selector>
      <moveFactoryClass>org.drools.planner.examples.nqueens.solver.move.factory.RowChangeMoveFactory</moveFactoryClass>
    </selector>
    <acceptor>
      <completeSolutionTabuSize>1000</completeSolutionTabuSize>
    </acceptor>
    <forager>
      <!-- Real world problems require to use of <minimalAcceptedSelection> -->
    </forager>
  </localSearch>
</solver>