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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.
<?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> <termination> <maximumSecondsSpend>120</maximumSecondsSpend> </termination> <!--<bruteForce>--> <!--</bruteForce>--> <constructionHeuristic> <constructionHeuristicType>FIRST_FIT_DECREASING</constructionHeuristicType> <constructionHeuristicPickEarlyType>FIRST_LAST_STEP_SCORE_EQUAL_OR_IMPROVING</constructionHeuristicPickEarlyType> </constructionHeuristic> <localSearch> <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>