/*
* Copyright 2015 Red Hat, Inc. and/or its affiliates.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.optaplanner.examples.investment.solver.score;
import java.util.Map;
import org.optaplanner.core.api.score.buildin.hardsoftlong.HardSoftLongScore;
import org.optaplanner.core.impl.score.director.easy.EasyScoreCalculator;
import org.optaplanner.examples.investment.domain.InvestmentSolution;
import org.optaplanner.examples.investment.domain.Region;
import org.optaplanner.examples.investment.domain.Sector;
public class InvestmentEasyScoreCalculator implements EasyScoreCalculator<InvestmentSolution> {
@Override
public HardSoftLongScore calculateScore(InvestmentSolution solution) {
long hardScore = 0L;
long softScore = 0L;
long squaredFemtosMaximum = solution.getParametrization().calculateSquaredStandardDeviationFemtosMaximum();
long squaredFemtos = solution.calculateStandardDeviationSquaredFemtos();
// Standard deviation maximum
if (squaredFemtos > squaredFemtosMaximum) {
hardScore -= squaredFemtos - squaredFemtosMaximum;
}
// Region quantity maximum
Map<Region, Long> regionQuantityTotalMap = solution.calculateRegionQuantityMillisTotalMap();
for (Region region : solution.getRegionList()) {
long available = region.getQuantityMillisMaximum() - regionQuantityTotalMap.get(region);
if (available < 0) {
hardScore += available;
}
}
// Sector quantity maximum
Map<Sector, Long> sectorQuantityTotalMap = solution.calculateSectorQuantityMillisTotalMap();
for (Sector sector : solution.getSectorList()) {
long available = sector.getQuantityMillisMaximum() - sectorQuantityTotalMap.get(sector);
if (available < 0) {
hardScore += available;
}
}
// Maximize expected return
softScore += solution.calculateExpectedReturnMicros();
return HardSoftLongScore.valueOf(hardScore, softScore);
}
}