org.optaplanner.examples.investment.solver.score.InvestmentEasyScoreCalculator Maven / Gradle / Ivy

Show more of this group Show more artifacts with this name
Show all versions of optaplanner-examples Show documentation

OptaPlanner solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains the examples which demonstrate how to use it in a normal Java application.

There is a newer version: 9.44.0.Final

Show newest version

/*
 * 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 {

    @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 regionQuantityTotalMap = solution.calculateRegionQuantityMillisTotalMap();
        for (Region region : solution.getRegionList()) {
            long available = region.getQuantityMillisMaximum() - regionQuantityTotalMap.get(region);
            if (available < 0) {
                hardScore += available;
            }
        }
        // Sector quantity maximum
        Map 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.of(hardScore, softScore);
    }

}