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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.conferencescheduling.persistence;
import java.io.File;
import java.math.BigInteger;
import java.time.Duration;
import java.time.LocalDate;
import java.time.LocalDateTime;
import java.time.LocalTime;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.LinkedHashSet;
import java.util.List;
import java.util.Random;
import java.util.Set;
import java.util.stream.Collectors;
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.common.persistence.generator.StringDataGenerator;
import org.optaplanner.examples.common.util.Pair;
import org.optaplanner.examples.conferencescheduling.app.ConferenceSchedulingApp;
import org.optaplanner.examples.conferencescheduling.domain.ConferenceConstraintConfiguration;
import org.optaplanner.examples.conferencescheduling.domain.ConferenceSolution;
import org.optaplanner.examples.conferencescheduling.domain.Room;
import org.optaplanner.examples.conferencescheduling.domain.Speaker;
import org.optaplanner.examples.conferencescheduling.domain.Talk;
import org.optaplanner.examples.conferencescheduling.domain.TalkType;
import org.optaplanner.examples.conferencescheduling.domain.Timeslot;
import org.optaplanner.persistence.common.api.domain.solution.SolutionFileIO;
public class ConferenceSchedulingGenerator extends LoggingMain {
public static void main(String[] args) {
ConferenceSchedulingGenerator generator = new ConferenceSchedulingGenerator();
generator.writeConferenceSolution(1, 5);
generator.writeConferenceSolution(2, 5);
generator.writeConferenceSolution(2, 10);
generator.writeConferenceSolution(3, 10);
generator.writeConferenceSolution(3, 20);
}
private final StringDataGenerator conferenceNameGenerator = new StringDataGenerator()
.addPart(true, 0,
"Javoxx",
"Red Bonnet Summit",
"JayFocus",
"YCon",
"JAQ")
.addPart(false, 0,
"2021",
"2022",
"2023",
"2024",
"2025");
private static final String LAB_TALK_TYPE = "Lab";
private static final String BREAKOUT_TALK_TYPE = "Breakout";
private final LocalDate timeslotFirstDay = LocalDate.of(2018, 10, 1);
private final List> timeslotOptions = Arrays.asList(
// Pair.of(LocalTime.of(8, 30), LocalTime.of(9, 30)), // General session
Pair.of(LocalTime.of(10, 15), LocalTime.of(12, 15)), // Lab
Pair.of(LocalTime.of(10, 15), LocalTime.of(11, 0)),
Pair.of(LocalTime.of(11, 30), LocalTime.of(12, 15)),
Pair.of(LocalTime.of(13, 0), LocalTime.of(15, 0)), // Lab
// Pair.of(LocalTime.of(13, 45), LocalTime.of(15, 0)), // General session
Pair.of(LocalTime.of(15, 30), LocalTime.of(16, 15)),
Pair.of(LocalTime.of(16, 30), LocalTime.of(17, 15)));
private final List> roomTagProbabilityList = Arrays.asList(
Pair.of("Large", 0.20),
Pair.of("Recorded", 0.50));
private final StringDataGenerator speakerNameGenerator = StringDataGenerator.buildFullNames();
private final String[] contentTagOptions = {
"OpenShift",
"WildFly",
"Spring",
"Drools",
"OptaPlanner",
"jBPM",
"Camel",
"Jackson",
"Docker",
"Hibernate",
"GWT",
"Errai",
"Angular",
"Weld",
"RestEasy",
"Android",
"Tensorflow",
"VertX",
"JUnit",
"Keycloak"
};
private final StringDataGenerator talkTitleGenerator = new StringDataGenerator()
.addPart(true, 0,
"Hands on",
"Advanced",
"Learn",
"Intro to",
"Discover",
"Mastering",
"Tuning",
"Building",
"Securing",
"Debug",
"Prepare for",
"Understand",
"Applying",
"Grok",
"Troubleshooting",
"Using",
"Deliver",
"Implement",
"Program",
"Hack")
.addPart(true, 0,
"real-time",
"containerized",
"virtualized",
"serverless",
"AI-driven",
"machine learning",
"IOT-driven",
"deep learning",
"scalable",
"enterprise",
"streaming",
"mobile",
"modern",
"distributed",
"reliable",
"secure",
"stable",
"platform-independent",
"flexible",
"modularized")
.addPart(true, 1,
contentTagOptions)
.addPart(false, 3,
"in a nutshell",
"in practice",
"for dummies",
"in action",
"recipes",
"on the web",
"for decision makers",
"on the whiteboard",
"out of the box",
"for programmers",
"for managers",
"for QA engineers",
"in Java",
"in Scala",
"in Kotlin",
"in Lisp",
"in C++",
"in Assembly",
"with style",
"like a pro");
private final List themeTagOptions = Arrays.asList(
"Artificial Intelligence",
"Cloud",
"Big Data",
"Culture",
"Middleware",
"Mobile",
"IoT",
"Modern Web",
"Security");
private final List sectorTagOptions = Arrays.asList(
"Education",
"Financial services",
"Government",
"Healthcare",
"Telecommunications",
"Transportation");
private final List audienceTypeOptions = Arrays.asList(
"Programmers",
"Business analysts",
"Managers");
private static final String TIMESLOT_AFTER_LUNCH_TAG = "After lunch";
private static final List mutuallyExclusiveTagList = List.of("Platinum Sponsor");
protected final SolutionFileIO solutionFileIO;
protected final File outputDir;
private TalkType breakoutTalkType;
private TalkType labTalkType;
protected int labTalkCount;
protected Random random;
public ConferenceSchedulingGenerator() {
solutionFileIO = new ConferenceSchedulingXlsxFileIO();
outputDir = new File(CommonApp.determineDataDir(ConferenceSchedulingApp.DATA_DIR_NAME), "unsolved");
}
private void writeConferenceSolution(int dayListSize, int roomListSize) {
int labTimeslotCount = (int) timeslotOptions.stream()
.filter(pair -> Duration.between(pair.getKey(), pair.getValue()).toMinutes() >= 120).count();
int labRoomCount = roomListSize / 5;
labTalkCount = (dayListSize * labTimeslotCount) * labRoomCount;
int timeslotListSize = dayListSize * timeslotOptions.size();
int talkListSize = (dayListSize * (timeslotOptions.size() - labTimeslotCount)) * (roomListSize - labRoomCount)
+ labTalkCount;
int speakerListSize = talkListSize * 2 / 3;
String fileName = talkListSize + "talks-" + timeslotListSize + "timeslots-" + roomListSize + "rooms";
File outputFile = new File(outputDir, fileName + "." + solutionFileIO.getOutputFileExtension());
ConferenceSolution solution = createConferenceSolution(
fileName, timeslotListSize, roomListSize, speakerListSize, talkListSize);
solutionFileIO.write(solution, outputFile);
}
public ConferenceSolution createConferenceSolution(String fileName, int timeslotListSize, int roomListSize,
int speakerListSize, int talkListSize) {
random = new Random(37);
ConferenceSolution solution = new ConferenceSolution(0L);
solution.setConferenceName(conferenceNameGenerator.generateNextValue());
ConferenceConstraintConfiguration constraintConfiguration = new ConferenceConstraintConfiguration(0L);
constraintConfiguration.setMinimumConsecutiveTalksPauseInMinutes(15);
solution.setConstraintConfiguration(constraintConfiguration);
createTalkTypeList(solution);
createTimeslotList(solution, timeslotListSize);
createRoomList(solution, roomListSize);
createSpeakerList(solution, speakerListSize);
createTalkList(solution, talkListSize);
BigInteger possibleSolutionSize = BigInteger.valueOf((long) timeslotListSize * roomListSize)
.pow(talkListSize);
logger.info("Conference {} has {} talks, {} timeslots and {} rooms with a search space of {}.",
fileName,
talkListSize,
timeslotListSize,
roomListSize,
AbstractSolutionImporter.getFlooredPossibleSolutionSize(possibleSolutionSize));
return solution;
}
private void createTalkTypeList(ConferenceSolution solution) {
List talkTypeList = new ArrayList<>(2);
breakoutTalkType = new TalkType(0L);
breakoutTalkType.setName(BREAKOUT_TALK_TYPE);
breakoutTalkType.setCompatibleTimeslotSet(new LinkedHashSet<>());
breakoutTalkType.setCompatibleRoomSet(new LinkedHashSet<>());
talkTypeList.add(breakoutTalkType);
labTalkType = new TalkType(1L);
labTalkType.setName(LAB_TALK_TYPE);
labTalkType.setCompatibleTimeslotSet(new LinkedHashSet<>());
labTalkType.setCompatibleRoomSet(new LinkedHashSet<>());
talkTypeList.add(labTalkType);
solution.setTalkTypeList(talkTypeList);
}
private void createTimeslotList(ConferenceSolution solution, int timeslotListSize) {
List timeslotList = new ArrayList<>(timeslotListSize);
int timeslotOptionsIndex = 0;
LocalDate day = timeslotFirstDay;
for (int i = 0; i < timeslotListSize; i++) {
Timeslot timeslot = new Timeslot(i);
if (timeslotOptionsIndex >= timeslotOptions.size()) {
timeslotOptionsIndex = 0;
day = day.plusDays(1);
}
Pair pair = timeslotOptions.get(timeslotOptionsIndex);
timeslot.setStartDateTime(LocalDateTime.of(day, pair.getKey()));
timeslot.setEndDateTime(LocalDateTime.of(day, pair.getValue()));
TalkType talkType = timeslot.getDurationInMinutes() >= 120 ? labTalkType : breakoutTalkType;
talkType.getCompatibleTimeslotSet().add(timeslot);
timeslot.setTalkTypeSet(Collections.singleton(talkType));
timeslotOptionsIndex++;
Set tagSet = new LinkedHashSet<>(2);
if (timeslot.getStartDateTime().getHour() == 13) {
tagSet.add(TIMESLOT_AFTER_LUNCH_TAG);
}
timeslot.setTagSet(tagSet);
logger.trace("Created timeslot ({}) with tags ({}).",
timeslot, tagSet);
timeslotList.add(timeslot);
}
solution.setTimeslotList(timeslotList);
}
private void createRoomList(ConferenceSolution solution, int roomListSize) {
final int roomsPerFloor = 12;
List roomList = new ArrayList<>(roomListSize);
for (int i = 0; i < roomListSize; i++) {
Room room = new Room(i);
room.setName("R " + ((i / roomsPerFloor * 100) + (i % roomsPerFloor) + 1));
room.setCapacity((1 + random.nextInt(100)) * 10);
TalkType talkType;
if (i % 5 == 4) {
talkType = labTalkType;
} else {
talkType = breakoutTalkType;
}
talkType.getCompatibleRoomSet().add(room);
room.setTalkTypeSet(Collections.singleton(talkType));
room.setUnavailableTimeslotSet(new LinkedHashSet<>());
Set tagSet = new LinkedHashSet<>(roomTagProbabilityList.size());
for (Pair roomTagProbability : roomTagProbabilityList) {
if ((i == 0 || i == 4 || random.nextDouble() < roomTagProbability.getValue())
&& roomTagProbability.getKey().equals("Recorded")) {
tagSet.add(roomTagProbability.getKey());
}
}
if (room.getCapacity() >= 500) {
tagSet.add("Large");
}
room.setTagSet(tagSet);
logger.trace("Created room with name ({}) and tags ({}).",
room.getName(), tagSet);
roomList.add(room);
}
solution.setRoomList(roomList);
}
private void createSpeakerList(ConferenceSolution solution, int speakerListSize) {
List speakerList = new ArrayList<>(speakerListSize);
speakerNameGenerator.predictMaximumSizeAndReset(speakerListSize);
for (int i = 0; i < speakerListSize; i++) {
Speaker speaker = new Speaker(i);
speaker.setName(speakerNameGenerator.generateNextValue());
Set unavailableTimeslotSet;
Set preferredTimeslotTagSet = new LinkedHashSet<>();
Set undesiredTimeslotTagSet = new LinkedHashSet<>();
List timeslotList = solution.getTimeslotList();
if (random.nextDouble() < 0.10) {
double segmentRandom = random.nextDouble();
if (segmentRandom < 0.10) {
// No mornings
unavailableTimeslotSet = timeslotList.stream()
.filter(timeslot -> timeslot.getStartDateTime().toLocalTime().isBefore(LocalTime.of(12, 0)))
.collect(Collectors.toCollection(LinkedHashSet::new));
preferredTimeslotTagSet.add(TIMESLOT_AFTER_LUNCH_TAG);
} else if (segmentRandom < 0.20) {
// No afternoons
unavailableTimeslotSet = timeslotList.stream()
.filter(timeslot -> !timeslot.getStartDateTime().toLocalTime().isBefore(LocalTime.of(12, 0)))
.collect(Collectors.toCollection(LinkedHashSet::new));
} else if (segmentRandom < 0.30) {
// Only 1 day available
LocalDate availableDate = timeslotList.get(random.nextInt(timeslotList.size())).getDate();
unavailableTimeslotSet = timeslotList.stream()
.filter(timeslot -> !timeslot.getDate().equals(availableDate))
.collect(Collectors.toCollection(LinkedHashSet::new));
} else {
unavailableTimeslotSet = timeslotList.stream()
.filter(timeslot -> random.nextDouble() < 0.05)
.collect(Collectors.toCollection(LinkedHashSet::new));
undesiredTimeslotTagSet.add(TIMESLOT_AFTER_LUNCH_TAG);
}
} else {
unavailableTimeslotSet = new LinkedHashSet<>(timeslotList.size());
}
speaker.setUnavailableTimeslotSet(unavailableTimeslotSet);
speaker.setRequiredTimeslotTagSet(new LinkedHashSet<>()); // TODO: choose random required/prohibited tags that don't result in an infeasible solution
speaker.setPreferredTimeslotTagSet(preferredTimeslotTagSet);
speaker.setProhibitedTimeslotTagSet(new LinkedHashSet<>());
speaker.setUndesiredTimeslotTagSet(undesiredTimeslotTagSet);
Set requiredRoomTagSet = new LinkedHashSet<>();
Set preferredRoomTagSet = new LinkedHashSet<>();
Set prohibitedRoomTagSet = new LinkedHashSet<>();
Set undesiredRoomTagSet = new LinkedHashSet<>();
initializeRoomTagSets(requiredRoomTagSet, preferredRoomTagSet, prohibitedRoomTagSet, undesiredRoomTagSet);
speaker.setRequiredRoomTagSet(requiredRoomTagSet);
speaker.setPreferredRoomTagSet(preferredRoomTagSet);
speaker.setProhibitedRoomTagSet(prohibitedRoomTagSet);
speaker.setUndesiredRoomTagSet(undesiredRoomTagSet);
logger.trace("Created speaker with name ({}).",
speaker.getName());
speakerList.add(speaker);
}
solution.setSpeakerList(speakerList);
}
private void createTalkList(ConferenceSolution solution, int talkListSize) {
List talkList = new ArrayList<>(talkListSize);
talkTitleGenerator.predictMaximumSizeAndReset(talkListSize);
int speakerListIndex = 0;
for (int i = 0; i < talkListSize; i++) {
Talk talk = new Talk(i);
talk.setCode(String.format("S%0" + ((String.valueOf(talkListSize).length()) + "d"), i));
talk.setTitle(talkTitleGenerator.generateNextValue());
double speakerRandomDouble = random.nextDouble();
talk.setTalkType(i < labTalkCount ? labTalkType : breakoutTalkType);
int speakerCount = (speakerRandomDouble < 0.01) ? 4
: (speakerRandomDouble < 0.03) ? 3 : (speakerRandomDouble < 0.40) ? 2 : 1;
List speakerList = new ArrayList<>(speakerCount);
for (int j = 0; j < speakerCount; j++) {
speakerList.add(solution.getSpeakerList().get(speakerListIndex));
speakerListIndex = (speakerListIndex + 1) % solution.getSpeakerList().size();
}
talk.setSpeakerList(speakerList);
Set themeTagSet = new LinkedHashSet<>();
themeTagSet.add(themeTagOptions.get(random.nextInt(themeTagOptions.size())));
if (random.nextDouble() < 0.20) {
themeTagSet.add(themeTagOptions.get(random.nextInt(themeTagOptions.size())));
}
talk.setThemeTrackTagSet(themeTagSet);
Set sectorTagSet = new LinkedHashSet<>();
if (random.nextDouble() < 0.20) {
sectorTagSet.add(sectorTagOptions.get(random.nextInt(sectorTagOptions.size())));
}
talk.setAudienceTypeSet(Collections.singleton(audienceTypeOptions.get(random.nextInt(audienceTypeOptions.size()))));
talk.setAudienceLevel(1 + random.nextInt(3));
Set contentTagSet = new LinkedHashSet<>();
for (String contentTagOption : contentTagOptions) {
if (talk.getTitle().contains(contentTagOption)) {
contentTagSet.add(contentTagOption);
if ((contentTagOption.equalsIgnoreCase("OpenShift") || contentTagOption.equalsIgnoreCase("Docker"))
&& random.nextDouble() < 0.40) {
contentTagSet.add("Kubernetes");
}
break;
}
}
talk.setContentTagSet(contentTagSet);
talk.setSectorTagSet(sectorTagSet);
talk.setLanguage("en");
talk.setRequiredTimeslotTagSet(new LinkedHashSet<>());
talk.setPreferredTimeslotTagSet(new LinkedHashSet<>());
talk.setProhibitedTimeslotTagSet(new LinkedHashSet<>());
talk.setUndesiredTimeslotTagSet(new LinkedHashSet<>());
Set requiredRoomTagSet = new LinkedHashSet<>();
Set preferredRoomTagSet = new LinkedHashSet<>();
Set prohibitedRoomTagSet = new LinkedHashSet<>();
Set undesiredRoomTagSet = new LinkedHashSet<>();
initializeRoomTagSets(requiredRoomTagSet, preferredRoomTagSet, prohibitedRoomTagSet, undesiredRoomTagSet);
talk.setRequiredRoomTagSet(requiredRoomTagSet);
talk.setPreferredRoomTagSet(preferredRoomTagSet);
talk.setProhibitedRoomTagSet(prohibitedRoomTagSet);
talk.setUndesiredRoomTagSet(undesiredRoomTagSet);
Set mutuallyExclusiveTagSet = new LinkedHashSet<>();
if (random.nextDouble() < 0.025) {
mutuallyExclusiveTagSet.add(mutuallyExclusiveTagList.get(random.nextInt(mutuallyExclusiveTagList.size())));
}
talk.setMutuallyExclusiveTalksTagSet(mutuallyExclusiveTagSet);
Set prerequisiteTalkCodeSet = new LinkedHashSet<>();
if (random.nextDouble() < 0.025) {
prerequisiteTalkCodeSet.add(talkList.get(random.nextInt(talkList.size())));
}
talk.setPrerequisiteTalkSet(prerequisiteTalkCodeSet);
talk.setFavoriteCount(random.nextInt(1000));
if (random.nextDouble() < 0.02) {
talk.setCrowdControlRisk(1);
// Need an even number of talks with crowd control > 1 for a feasible solution
Talk pairedTalk = talkList.get(random.nextInt(talkList.size()));
while (pairedTalk.getCrowdControlRisk() != 0 || !pairedTalk.getTalkType().equals(talk.getTalkType())) {
pairedTalk = talkList.get(random.nextInt(talkList.size()));
}
pairedTalk.setCrowdControlRisk(1);
}
talk.setCrowdControlRisk(0); // Disabled for now: the unsolved schedules must have a feasible solution
logger.trace("Created talk with code ({}), title ({}) and speakers ({}).",
talk.getCode(), talk.getTitle(), speakerList);
talkList.add(talk);
}
Talk pinnedTalk = talkList.get(labTalkCount + random.nextInt(talkListSize - labTalkCount));
pinnedTalk.setPinnedByUser(true);
pinnedTalk.setTimeslot(solution.getTimeslotList().stream()
.filter(timeslot -> timeslot.getTalkTypeSet().contains(breakoutTalkType)).findFirst().get());
pinnedTalk.setRoom(solution.getRoomList().get(0));
Talk publishedTalk = talkList.get(random.nextInt(labTalkCount));
publishedTalk.setTimeslot(solution.getTimeslotList().stream()
.filter(timeslot -> timeslot.getTalkTypeSet().contains(labTalkType)).findFirst().get());
publishedTalk.setRoom(solution.getRoomList().stream()
.filter(room -> room.getTalkTypeSet().contains(labTalkType)).findFirst().get()); // In this data set rooms has only one talkType
publishedTalk.setPublishedTimeslot(publishedTalk.getTimeslot());
publishedTalk.setPublishedRoom(publishedTalk.getRoom());
solution.setTalkList(talkList);
}
private void initializeRoomTagSets(Set requiredRoomTagSet, Set preferredRoomTagSet,
Set prohibitedRoomTagSet, Set undesiredRoomTagSet) {
for (Pair roomTagProbability : roomTagProbabilityList) {
double segmentRandom = random.nextDouble();
if (segmentRandom < roomTagProbability.getValue() / 25.0) {
requiredRoomTagSet.add(roomTagProbability.getKey());
} else if (segmentRandom < roomTagProbability.getValue() / 20.0) {
prohibitedRoomTagSet.add(roomTagProbability.getKey());
} else if (segmentRandom < roomTagProbability.getValue() / 15.0) {
preferredRoomTagSet.add(roomTagProbability.getKey());
} else if (segmentRandom < roomTagProbability.getValue() / 10.0) {
undesiredRoomTagSet.add(roomTagProbability.getKey());
}
}
}
}