Java DataProperties.getPropertyDoubleArry方法代码示例

import org.cpsolver.ifs.util.DataProperties; //导入方法依赖的package包/类
@Override
public void configure(DataProperties properties) {
    super.configure(properties);
    if (getPlacementSelectionWeightName() != null) {
        iPlacementSelectionWeight = new double[] { 0.0, 0.0, 0.0 };
        for (int i = 0; i < 3; i++)
            iPlacementSelectionWeight[i] = properties.getPropertyDouble(getPlacementSelectionWeightName() + (1 + i), getPlacementSelectionWeightDefault(i));
        iPlacementSelectionAdjusts = new Double[][] { null, null, null};
        for (int i = 0; i < 3; i++) {
            iPlacementSelectionAdjusts[i] = properties.getPropertyDoubleArry(getPlacementSelectionAdjustmentsName() + (1 + i), properties.getPropertyDoubleArry(getPlacementSelectionAdjustmentsName(), null));
        }
    }
}
 

import org.cpsolver.ifs.util.DataProperties; //导入方法依赖的package包/类
/**
 * Constructor. Following problem properties are considered:
 * <ul>
 * <li>SimulatedAnnealing.InitialTemperature ... initial temperature (default 1.5)
 * <li>SimulatedAnnealing.TemperatureLength ... temperature length (number of iterations between temperature decrements, default 25000)
 * <li>SimulatedAnnealing.CoolingRate ... temperature cooling rate (default 0.95)
 * <li>SimulatedAnnealing.ReheatLengthCoef ... temperature re-heat length coefficient (multiple of temperature length, default 5)
 * <li>SimulatedAnnealing.ReheatRate ... temperature re-heating rate (default (1/coolingRate)^(reheatLengthCoef*1.7))
 * <li>SimulatedAnnealing.RestoreBestLengthCoef ... restore best length coefficient (multiple of re-heat length, default reheatLengthCoef^2)
 * <li>SimulatedAnnealing.StochasticHC ... true for stochastic search acceptance criterion, false for simulated annealing acceptance (default false)
 * <li>SimulatedAnnealing.RelativeAcceptance ... true for relative acceptance (different between the new and the current solutions, if the neighbour is accepted), false for absolute acceptance (difference between the new and the best solutions, if the neighbour is accepted)
 * <li>SimulatedAnnealing.Neighbours ... semicolon separated list of classes implementing {@link NeighbourSelection}
 * <li>SimulatedAnnealing.AdditionalNeighbours ... semicolon separated list of classes implementing {@link NeighbourSelection}
 * <li>SimulatedAnnealing.Random ... when true, a neighbour selector is selected randomly
 * <li>SimulatedAnnealing.Update ... when true, a neighbour selector is selected using {@link NeighbourSelector#getPoints()} weights (roulette wheel selection)
 * </ul>
 * 
 * @param properties
 *            problem properties
 */
public SimulatedAnnealing(DataProperties properties) {
    super(properties);
    iInitialTemperature = properties.getPropertyDouble(getParameterBaseName() + ".InitialTemperature", iInitialTemperature);
    iReheatRate = properties.getPropertyDouble(getParameterBaseName() + ".ReheatRate", iReheatRate);
    iCoolingRate = properties.getPropertyDouble(getParameterBaseName() + ".CoolingRate", iCoolingRate);
    iRelativeAcceptance = properties.getPropertyBoolean(getParameterBaseName() + ".RelativeAcceptance", iRelativeAcceptance);
    iStochasticHC = properties.getPropertyBoolean(getParameterBaseName() + ".StochasticHC", iStochasticHC);
    iTemperatureLength = properties.getPropertyLong(getParameterBaseName() + ".TemperatureLength", iTemperatureLength);
    iReheatLengthCoef = properties.getPropertyDouble(getParameterBaseName() + ".ReheatLengthCoef", iReheatLengthCoef);
    iRestoreBestLengthCoef = properties.getPropertyDouble(getParameterBaseName() + ".RestoreBestLengthCoef", iRestoreBestLengthCoef);
    iCoolingRateAdjusts = properties.getPropertyDoubleArry(getParameterBaseName() + ".CoolingRateAdjustments", null);
    iTrainingValues = properties.getPropertyInt(getParameterBaseName() + ".TrainingValues", iTrainingValues);
    iTrainingProbability = properties.getPropertyDouble(getParameterBaseName() + ".TrainingProbability", iTrainingProbability);
    if (iReheatRate < 0)
        iReheatRate = Math.pow(1 / iCoolingRate, iReheatLengthCoef * 1.7);
    if (iRestoreBestLengthCoef < 0)
        iRestoreBestLengthCoef = iReheatLengthCoef * iReheatLengthCoef;
}
 

import org.cpsolver.ifs.util.DataProperties; //导入方法依赖的package包/类
/**
 * Constructor
 * <ul>
 * <li>HillClimber.CounterLimit ... number of moves after which the bound is reset (defaults to 1000)
 * <li>HillClimber.CounterMode ... counter mode (all: count all moves, accepted: count accepted moves, improving: count improving moves)
 * </ul>
 * @param properties solver configuration
 */
public StepCountingHillClimber(DataProperties properties) {
    super(properties);
    iSetHCMode = false;
    iCounterLimit = properties.getPropertyInt(getParameterBaseName() + ".CounterLimit", iCounterLimit);
    iCounterMode = Mode.valueOf(properties.getProperty(getParameterBaseName() + ".CounterMode", iCounterMode.name()).toUpperCase());
    iCounterLimitAdjusts = properties.getPropertyDoubleArry(getParameterBaseName() + ".CounterLimitAdjustments", null);
}
 

import org.cpsolver.ifs.util.DataProperties; //导入方法依赖的package包/类
/**
 * Constructor. Following problem properties are considered:
 * <ul>
 * <li>GreatDeluge.CoolRate ... bound cooling rate (default 0.99999995)
 * <li>GreatDeluge.UpperBoundRate ... bound upper bound relative to best solution ever found (default 1.05)
 * <li>GreatDeluge.LowerBoundRate ... bound lower bound relative to best solution ever found (default 0.95)
 * <li>GreatDeluge.Neighbours ... semicolon separated list of classes implementing {@link NeighbourSelection}
 * <li>GreatDeluge.AdditionalNeighbours ... semicolon separated list of classes implementing {@link NeighbourSelection}
 * <li>GreatDeluge.Random ... when true, a neighbour selector is selected randomly
 * <li>GreatDeluge.Update ... when true, a neighbour selector is selected using {@link NeighbourSelector#getPoints()} weights (roulette wheel selection)
 * </ul>
 * 
 * @param properties
 *            problem properties
 */
public GreatDeluge(DataProperties properties) {
    super(properties);
    iCoolRate = properties.getPropertyDouble(getParameterBaseName() + ".CoolRate", iCoolRate);
    iUpperBoundRate = properties.getPropertyDouble(getParameterBaseName() + ".UpperBoundRate", iUpperBoundRate);
    iLowerBoundRate = properties.getPropertyDouble(getParameterBaseName() + ".LowerBoundRate", iLowerBoundRate);
    iCoolRateAdjusts = properties.getPropertyDoubleArry(getParameterBaseName() + ".CoolRateAdjustments", null);
}