com.github.rinde.rinsim.examples.pdptw.gradientfield.GradientModel Maven / Gradle / Ivy
/*
* Copyright (C) 2011-2014 Rinde van Lon, iMinds DistriNet, KU Leuven
*
* 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 com.github.rinde.rinsim.examples.pdptw.gradientfield;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.concurrent.CopyOnWriteArrayList;
import javax.annotation.Nullable;
import com.github.rinde.rinsim.core.model.Model;
import com.github.rinde.rinsim.core.model.ModelProvider;
import com.github.rinde.rinsim.core.model.ModelReceiver;
import com.github.rinde.rinsim.core.model.pdp.PDPModel;
import com.github.rinde.rinsim.core.model.pdp.Parcel;
import com.github.rinde.rinsim.core.model.road.RoadModel;
import com.github.rinde.rinsim.geom.Point;
import com.github.rinde.rinsim.util.StochasticSupplier;
import com.github.rinde.rinsim.util.StochasticSuppliers;
import com.github.rinde.rinsim.util.StochasticSuppliers.AbstractStochasticSupplier;
import com.google.common.collect.ImmutableList;
/**
*
* @author David Merckx
* @author Rinde van Lon
*/
public class GradientModel implements Model, ModelReceiver {
private final List emitters;
private double minX;
private double maxX;
private double minY;
private double maxY;
private PDPModel pdpModel;
ImmutableList bounds;
public GradientModel() {
emitters = new CopyOnWriteArrayList();
}
public List getEmitters() {
return emitters;
}
public List getTruckEmitters() {
final List trucks = new ArrayList();
for (final FieldEmitter emitter : emitters) {
if (emitter instanceof Truck) {
trucks.add((Truck) emitter);
}
}
return trucks;
}
/**
* Possibilities (-1,1) (0,1) (1,1) (-1,0) (1,0 (-1,-1) (0,-1) (1,-1)
*/
private final int[] x = { -1, 0, 1, 1, 1, 0, -1, -1 };
private final int[] y = { 1, 1, 1, 0, -1, -1, -1, 0 };
@Nullable
public Point getTargetFor(Truck element) {
float maxField = Float.NEGATIVE_INFINITY;
Point maxFieldPoint = null;
for (int i = 0; i < x.length; i++) {
final Point p = new Point(element.getPosition().x + x[i],
element.getPosition().y + y[i]);
if (p.x < minX || p.x > maxX || p.y < minY || p.y > maxY) {
continue;
}
final float field = getField(p, element);
if (field >= maxField) {
maxField = field;
maxFieldPoint = p;
}
}
return maxFieldPoint;
}
public float getField(Point in, Truck truck) {
float field = 0.0f;
for (final FieldEmitter emitter : emitters) {
field += emitter.getStrength()
/ Point.distance(emitter.getPosition(), in);
}
for (final Parcel p : pdpModel.getContents(truck)) {
field += 2 / Point.distance(p.getDestination(), in);
}
return field;
}
@Override
public boolean register(FieldEmitter element) {
emitters.add(element);
element.setModel(this);
return true;
}
@Override
public boolean unregister(FieldEmitter element) {
emitters.remove(element);
return false;
}
@Override
public Class getSupportedType() {
return FieldEmitter.class;
}
public Map getFields(Truck truck) {
final Map fields = new HashMap();
for (int i = 0; i < x.length; i++) {
final Point p = new Point(truck.getPosition().x + x[i],
truck.getPosition().y + y[i]);
if (p.x < minX || p.x > maxX || p.y < minY || p.y > maxY) {
continue;
}
fields.put(new Point(x[i], y[i]), getField(p, truck));
}
float avg = 0;
for (final Point p : fields.keySet()) {
avg += fields.get(p);
}
avg /= fields.size();
for (final Point p : fields.keySet()) {
fields.put(p, fields.get(p) - avg);
}
return fields;
}
@Override
public void registerModelProvider(ModelProvider mp) {
pdpModel = mp.getModel(PDPModel.class);
final ImmutableList bounds = mp.getModel(RoadModel.class)
.getBounds();
minX = bounds.get(0).x;
maxX = bounds.get(1).x;
minY = bounds.get(0).y;
maxY = bounds.get(1).y;
}
public static StochasticSupplier supplier() {
return new StochasticSuppliers.AbstractStochasticSupplier() {
@Override
public GradientModel get(long seed) {
return new GradientModel();
}
};
}
}
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