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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.
package org.optaplanner.examples.tennis.persistence;
import java.io.File;
import java.math.BigInteger;
import java.util.ArrayList;
import java.util.List;
import org.optaplanner.examples.common.app.CommonApp;
import org.optaplanner.examples.common.app.LoggingMain;
import org.optaplanner.examples.common.persistence.AbstractSolutionImporter;
import org.optaplanner.examples.tennis.app.TennisApp;
import org.optaplanner.examples.tennis.domain.Day;
import org.optaplanner.examples.tennis.domain.Team;
import org.optaplanner.examples.tennis.domain.TeamAssignment;
import org.optaplanner.examples.tennis.domain.TennisSolution;
import org.optaplanner.examples.tennis.domain.UnavailabilityPenalty;
import org.optaplanner.persistence.common.api.domain.solution.SolutionFileIO;
public class TennisGenerator extends LoggingMain {
public static void main(String[] args) {
new TennisGenerator().generate();
}
protected final SolutionFileIO solutionFileIO = new TennisSolutionFileIO();
protected final File outputDir;
public TennisGenerator() {
this.outputDir = new File(CommonApp.determineDataDir(TennisApp.DATA_DIR_NAME), "unsolved");
}
public void generate() {
File outputFile = new File(outputDir, "munich-7teams.json");
TennisSolution tennisSolution = createTennisSolution();
solutionFileIO.write(tennisSolution, outputFile);
logger.info("Saved: {}", outputFile);
}
public TennisSolution createTennisSolution() {
TennisSolution tennisSolution = new TennisSolution(0L);
List teamList = new ArrayList<>();
teamList.add(new Team(0L, "Micha"));
teamList.add(new Team(1L, "Angelika"));
teamList.add(new Team(2L, "Katrin"));
teamList.add(new Team(3L, "Susi"));
teamList.add(new Team(4L, "Irene"));
teamList.add(new Team(5L, "Kristina"));
teamList.add(new Team(6L, "Tobias"));
tennisSolution.setTeamList(teamList);
List dayList = new ArrayList<>();
for (int i = 0; i < 18; i++) {
dayList.add(new Day(i, i));
}
tennisSolution.setDayList(dayList);
List unavailabilityPenaltyList = new ArrayList<>();
unavailabilityPenaltyList.add(new UnavailabilityPenalty(0L, teamList.get(4), dayList.get(0)));
unavailabilityPenaltyList.add(new UnavailabilityPenalty(1L, teamList.get(6), dayList.get(1)));
unavailabilityPenaltyList.add(new UnavailabilityPenalty(2L, teamList.get(2), dayList.get(2)));
unavailabilityPenaltyList.add(new UnavailabilityPenalty(3L, teamList.get(4), dayList.get(3)));
unavailabilityPenaltyList.add(new UnavailabilityPenalty(4L, teamList.get(4), dayList.get(5)));
unavailabilityPenaltyList.add(new UnavailabilityPenalty(5L, teamList.get(2), dayList.get(6)));
unavailabilityPenaltyList.add(new UnavailabilityPenalty(6L, teamList.get(1), dayList.get(8)));
unavailabilityPenaltyList.add(new UnavailabilityPenalty(7L, teamList.get(2), dayList.get(9)));
unavailabilityPenaltyList.add(new UnavailabilityPenalty(8L, teamList.get(4), dayList.get(10)));
unavailabilityPenaltyList.add(new UnavailabilityPenalty(9L, teamList.get(4), dayList.get(11)));
unavailabilityPenaltyList.add(new UnavailabilityPenalty(10L, teamList.get(6), dayList.get(12)));
unavailabilityPenaltyList.add(new UnavailabilityPenalty(11L, teamList.get(5), dayList.get(15)));
tennisSolution.setUnavailabilityPenaltyList(unavailabilityPenaltyList);
List teamAssignmentList = new ArrayList<>();
long id = 0L;
for (Day day : dayList) {
for (int i = 0; i < 4; i++) {
teamAssignmentList.add(new TeamAssignment(id, day, i));
id++;
}
}
tennisSolution.setTeamAssignmentList(teamAssignmentList);
BigInteger possibleSolutionSize = BigInteger.valueOf(teamList.size()).pow(
teamAssignmentList.size());
logger.info("Tennis {} has {} teams, {} days, {} unavailabilityPenalties and {} teamAssignments"
+ " with a search space of {}.",
"munich-7teams", teamList.size(), dayList.size(), unavailabilityPenaltyList.size(), teamAssignmentList.size(),
AbstractSolutionImporter.getFlooredPossibleSolutionSize(possibleSolutionSize));
return tennisSolution;
}
}