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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.
/*
* 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.tsp.persistence;
import java.io.IOException;
import java.math.BigInteger;
import java.util.ArrayList;
import java.util.List;
import org.apache.commons.io.FilenameUtils;
import org.optaplanner.examples.common.persistence.AbstractPngSolutionImporter;
import org.optaplanner.examples.common.persistence.SolutionConverter;
import org.optaplanner.examples.tsp.app.TspApp;
import org.optaplanner.examples.tsp.domain.Domicile;
import org.optaplanner.examples.tsp.domain.TspSolution;
import org.optaplanner.examples.tsp.domain.Visit;
import org.optaplanner.examples.tsp.domain.location.AirLocation;
import org.optaplanner.examples.tsp.domain.location.DistanceType;
import org.optaplanner.examples.tsp.domain.location.Location;
public class TspImageStipplerImporter extends AbstractPngSolutionImporter {
private static final double GRAY_MAXIMUM = 256.0 * 3.0;
public static void main(String[] args) {
SolutionConverter converter = SolutionConverter.createImportConverter(
TspApp.DATA_DIR_NAME, new TspImageStipplerImporter(), TspSolution.class);
converter.convertAll();
}
@Override
public PngInputBuilder createPngInputBuilder() {
return new TspImageStipplerInputBuilder();
}
public static class TspImageStipplerInputBuilder extends PngInputBuilder {
private TspSolution tspSolution;
private int locationListSize;
@Override
public TspSolution readSolution() throws IOException {
tspSolution = new TspSolution();
tspSolution.setId(0L);
tspSolution.setName(FilenameUtils.getBaseName(inputFile.getName()));
floydSteinbergDithering();
createVisitList();
BigInteger possibleSolutionSize = factorial(tspSolution.getLocationList().size() - 1);
logger.info("TspSolution {} has {} locations with a search space of {}.",
getInputId(),
tspSolution.getLocationList().size(),
getFlooredPossibleSolutionSize(possibleSolutionSize));
return tspSolution;
}
/**
* As described by Floyd-Steinberg dithering.
*/
private void floydSteinbergDithering() {
tspSolution.setDistanceType(DistanceType.AIR_DISTANCE);
tspSolution.setDistanceUnitOfMeasurement("distance");
int width = image.getWidth();
int height = image.getHeight();
double[][] errorDiffusion = new double[width][height];
List locationList = new ArrayList<>(1000);
long id = 0L;
for (int y = 0; y < height; y++) {
for (int x = 0; x < width; x++) {
int rgb = image.getRGB(x, y);
int r = (rgb) & 0xFF;
int g = (rgb >> 8) & 0xFF;
int b = (rgb >> 16) & 0xFF;
double originalGray = (r + g + b) / GRAY_MAXIMUM;
double diffusedGray = originalGray + errorDiffusion[x][y];
double error;
if (diffusedGray <= 0.5) {
Location location = new AirLocation();
location.setId(id);
id++;
location.setLatitude(- y);
location.setLongitude(x);
locationList.add(location);
error = diffusedGray;
} else {
error = diffusedGray - 1.0;
}
if (x + 1 < width) {
errorDiffusion[x + 1][y] += error * 7.0 / 16.0;
}
if (y + 1 < height) {
if (x - 1 >= 0) {
errorDiffusion[x - 1][y + 1] += error * 3.0 / 16.0;
}
errorDiffusion[x][y + 1] += error * 5.0 / 16.0;
if (x + 1 < width) {
errorDiffusion[x + 1][y + 1] += error * 1.0 / 16.0;
}
}
}
}
tspSolution.setLocationList(locationList);
}
private void createVisitList() {
List locationList = tspSolution.getLocationList();
List visitList = new ArrayList<>(locationList.size() - 1);
int count = 0;
for (Location location : locationList) {
if (count < 1) {
Domicile domicile = new Domicile();
domicile.setId(location.getId());
domicile.setLocation(location);
tspSolution.setDomicile(domicile);
} else {
Visit visit = new Visit();
visit.setId(location.getId());
visit.setLocation(location);
// Notice that we leave the PlanningVariable properties on null
visitList.add(visit);
}
count++;
}
tspSolution.setVisitList(visitList);
}
}
}