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‎aima-gui/src/main/java/aima/gui/fx/demo/search/local/Functions.java‎

Lines changed: 20 additions & 20 deletions
Original file line numberDiff line numberDiff line change
@@ -1,20 +1,20 @@
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package aima.gui.fx.demo.search.local;
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import java.util.function.Function;
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/**
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* Defines functions for local search experiments and a bounding box to limit
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* the search space and support visualization.
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*
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* @author Ruediger Lunde
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*/
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public class Functions {
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public static double minX = -10;
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public static double maxX = 10;
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public static double minY = 0;
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public static double maxY = 1;
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public static Function<Double, Double> f1 = num -> (Math.sin(num) + 1) / 2;
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public static Function<Double, Double> f2 = num -> (Math.sin(num * 0.1) + 1) / 2;
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public static Function<Double, Double> f3 = num -> ((Math.sin(num - 2) / (Math.abs(num - 2) + 1) + 1) / 2);
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}
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package aima.gui.fx.demo.search.local;
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import java.util.function.Function;
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/**
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* Defines functions for local search experiments and a bounding box to limit
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* the search space and support visualization.
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*
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* @author Ruediger Lunde
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*/
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public class Functions {
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public static double minX = -10;
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public static double maxX = 10;
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public static double minY = 0;
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public static double maxY = 1;
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public static Function<Double, Double> f1 = num -> (Math.sin(num) + 1) / 2;
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public static Function<Double, Double> f2 = num -> (Math.sin(num * 0.1) + 1) / 2;
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public static Function<Double, Double> f3 = num -> ((Math.sin(num - 2) / (Math.abs(num - 2) + 1) + 1) / 2);
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}

‎aima-gui/src/main/java/aima/gui/fx/demo/search/local/GeneticMaximumFinderApp.java‎

Lines changed: 136 additions & 136 deletions
Original file line numberDiff line numberDiff line change
@@ -1,136 +1,136 @@
1-
package aima.gui.fx.demo.search.local;
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import java.util.Collection;
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import java.util.Optional;
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import java.util.function.Function;
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import aima.core.search.local.Individual;
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import aima.gui.fx.framework.IntegrableApplication;
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import aima.gui.fx.framework.Parameter;
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import aima.gui.fx.framework.SimulationPaneBuilder;
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import aima.gui.fx.framework.SimulationPaneCtrl;
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import aima.gui.fx.views.FunctionPlotterCtrl;
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import javafx.application.Platform;
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import javafx.scene.canvas.Canvas;
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import javafx.scene.layout.BorderPane;
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import javafx.scene.layout.Pane;
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import javafx.scene.paint.Color;
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import javafx.scene.paint.Paint;
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/**
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* Demonstrates, how the genetic algorithm can be used, to find maximums in
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* mathematical functions. Different parameter settings can be tried out and
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* progress shown for each iteration.
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*
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* @author Ruediger Lunde
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*/
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public class GeneticMaximumFinderApp extends IntegrableApplication {
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public static void main(String[] args) {
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launch(args);
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}
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public final static String PARAM_FUNC_SELECT = "funcSelect";
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public final static String PARAM_MUT_PROB = "mutProb";
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public final static String PARAM_POPULATION = "population";
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public final static String PARAM_MAX_ITER = "maxIter";
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protected FunctionPlotterCtrl funcPlotterCtrl;
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private SimulationPaneCtrl simPaneCtrl;
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private GeneticMaximumFinderProg experiment;
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@Override
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public String getTitle() {
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return "Genetic Maxium Finder App";
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}
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/**
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* Defines state view, parameters, and call-back functions and calls the
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* simulation pane builder to create layout and controller objects.
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*/
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@Override
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public Pane createRootPane() {
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BorderPane root = new BorderPane();
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Canvas canvas = new Canvas();
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funcPlotterCtrl = new FunctionPlotterCtrl(canvas);
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funcPlotterCtrl.setLimits(Functions.minX, Functions.maxX, Functions.minY, Functions.maxY);
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Parameter[] params = createParameters();
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SimulationPaneBuilder builder = new SimulationPaneBuilder();
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builder.defineParameters(params);
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builder.defineStateView(canvas);
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builder.defineInitMethod(this::initialize);
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builder.defineSimMethod(this::simulate);
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simPaneCtrl = builder.getResultFor(root);
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return root;
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}
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protected Parameter[] createParameters() {
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Parameter p1 = new Parameter(PARAM_FUNC_SELECT);
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p1.setValues(Functions.f1, Functions.f2, Functions.f3);
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p1.setValueNames("f1", "f2", "f3");
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Parameter p2 = new Parameter(PARAM_MUT_PROB, 0.0, 0.2, 0.5, 1.0);
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p2.setDefaultValueIndex(1);
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Parameter p3 = new Parameter(PARAM_POPULATION, 2, 10, 20, 100);
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p3.setDefaultValueIndex(2);
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Parameter p4 = new Parameter(PARAM_MAX_ITER, 100, 200, 400);
80-
p4.setDefaultValueIndex(0);
81-
return new Parameter[] {p1, p2, p3, p4};
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}
83-
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/** Displays the selected function on the state view. */
85-
@SuppressWarnings("unchecked")
86-
@Override
87-
public void initialize() {
88-
funcPlotterCtrl.setFunction((Function<Double, Double>) simPaneCtrl.getParamValue(PARAM_FUNC_SELECT));
89-
}
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@Override
92-
public void finalize() {
93-
simPaneCtrl.cancelSimulation();
94-
}
95-
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/** Starts the experiment. */
97-
@SuppressWarnings("unchecked")
98-
public void simulate() {
99-
experiment = new GeneticMaximumFinderProg();
100-
experiment.setFunction((Function<Double, Double>) simPaneCtrl.getParamValue(PARAM_FUNC_SELECT));
101-
experiment.setMutationProb(simPaneCtrl.getParamAsDouble(PARAM_MUT_PROB));
102-
experiment.setPopulationSize(simPaneCtrl.getParamAsInt(PARAM_POPULATION));
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experiment.setMaxIterations(simPaneCtrl.getParamAsInt(PARAM_MAX_ITER));
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experiment.startExperiment(this::updateStateView);
105-
}
106-
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/**
108-
* Caution: While the background thread should be slowed down, updates of
109-
* the GUI have to be done in the GUI thread!
110-
*/
111-
private void updateStateView(int itCount, Collection<Individual<Double>> gen) {
112-
Platform.runLater(() -> updateStateViewLater(itCount, gen));
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simPaneCtrl.waitAfterStep();
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}
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/**
117-
* Must be called by the GUI thread!
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*/
119-
private void updateStateViewLater(int itCount, Collection<Individual<Double>> gen) {
120-
funcPlotterCtrl.update();
121-
if (gen != null) {
122-
for (Individual<Double> ind : gen) {
123-
Optional<Paint> fill = Optional.empty();
124-
if (ind.getDescendants() > 0)
125-
fill = Optional.of(Color.rgb(Math.max(255 - ind.getDescendants() * 20, 0), 0, 0));
126-
else
127-
fill = Optional.of(Color.RED.brighter());
128-
double x = ind.getRepresentation().get(0);
129-
funcPlotterCtrl.setMarker(x, fill);
130-
}
131-
simPaneCtrl.setStatus(experiment.getIterationInfo(itCount, gen));
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} else {
133-
simPaneCtrl.setStatus("");
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}
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}
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}
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package aima.gui.fx.demo.search.local;
2+
3+
import java.util.Collection;
4+
import java.util.Optional;
5+
import java.util.function.Function;
6+
7+
import aima.core.search.local.Individual;
8+
import aima.gui.fx.framework.IntegrableApplication;
9+
import aima.gui.fx.framework.Parameter;
10+
import aima.gui.fx.framework.SimulationPaneBuilder;
11+
import aima.gui.fx.framework.SimulationPaneCtrl;
12+
import aima.gui.fx.views.FunctionPlotterCtrl;
13+
import javafx.application.Platform;
14+
import javafx.scene.canvas.Canvas;
15+
import javafx.scene.layout.BorderPane;
16+
import javafx.scene.layout.Pane;
17+
import javafx.scene.paint.Color;
18+
import javafx.scene.paint.Paint;
19+
20+
21+
/**
22+
* Demonstrates, how the genetic algorithm can be used, to find maximums in
23+
* mathematical functions. Different parameter settings can be tried out and
24+
* progress shown for each iteration.
25+
*
26+
* @author Ruediger Lunde
27+
*/
28+
public class GeneticMaximumFinderApp extends IntegrableApplication {
29+
30+
public static void main(String[] args) {
31+
launch(args);
32+
}
33+
34+
public final static String PARAM_FUNC_SELECT = "funcSelect";
35+
public final static String PARAM_MUT_PROB = "mutProb";
36+
public final static String PARAM_POPULATION = "population";
37+
public final static String PARAM_MAX_ITER = "maxIter";
38+
39+
protected FunctionPlotterCtrl funcPlotterCtrl;
40+
private SimulationPaneCtrl simPaneCtrl;
41+
private GeneticMaximumFinderProg experiment;
42+
43+
@Override
44+
public String getTitle() {
45+
return "Genetic Maxium Finder App";
46+
}
47+
48+
/**
49+
* Defines state view, parameters, and call-back functions and calls the
50+
* simulation pane builder to create layout and controller objects.
51+
*/
52+
@Override
53+
public Pane createRootPane() {
54+
BorderPane root = new BorderPane();
55+
56+
Canvas canvas = new Canvas();
57+
funcPlotterCtrl = new FunctionPlotterCtrl(canvas);
58+
funcPlotterCtrl.setLimits(Functions.minX, Functions.maxX, Functions.minY, Functions.maxY);
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Parameter[] params = createParameters();
60+
61+
SimulationPaneBuilder builder = new SimulationPaneBuilder();
62+
builder.defineParameters(params);
63+
builder.defineStateView(canvas);
64+
builder.defineInitMethod(this::initialize);
65+
builder.defineSimMethod(this::simulate);
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simPaneCtrl = builder.getResultFor(root);
67+
68+
return root;
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}
70+
71+
protected Parameter[] createParameters() {
72+
Parameter p1 = new Parameter(PARAM_FUNC_SELECT);
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p1.setValues(Functions.f1, Functions.f2, Functions.f3);
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p1.setValueNames("f1", "f2", "f3");
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Parameter p2 = new Parameter(PARAM_MUT_PROB, 0.0, 0.2, 0.5, 1.0);
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p2.setDefaultValueIndex(1);
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Parameter p3 = new Parameter(PARAM_POPULATION, 2, 10, 20, 100);
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p3.setDefaultValueIndex(2);
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Parameter p4 = new Parameter(PARAM_MAX_ITER, 100, 200, 400);
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p4.setDefaultValueIndex(0);
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return new Parameter[] {p1, p2, p3, p4};
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}
83+
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/** Displays the selected function on the state view. */
85+
@SuppressWarnings("unchecked")
86+
@Override
87+
public void initialize() {
88+
funcPlotterCtrl.setFunction((Function<Double, Double>) simPaneCtrl.getParamValue(PARAM_FUNC_SELECT));
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}
90+
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@Override
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public void finalize() {
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simPaneCtrl.cancelSimulation();
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}
95+
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/** Starts the experiment. */
97+
@SuppressWarnings("unchecked")
98+
public void simulate() {
99+
experiment = new GeneticMaximumFinderProg();
100+
experiment.setFunction((Function<Double, Double>) simPaneCtrl.getParamValue(PARAM_FUNC_SELECT));
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experiment.setMutationProb(simPaneCtrl.getParamAsDouble(PARAM_MUT_PROB));
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experiment.setPopulationSize(simPaneCtrl.getParamAsInt(PARAM_POPULATION));
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experiment.setMaxIterations(simPaneCtrl.getParamAsInt(PARAM_MAX_ITER));
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experiment.startExperiment(this::updateStateView);
105+
}
106+
107+
/**
108+
* Caution: While the background thread should be slowed down, updates of
109+
* the GUI have to be done in the GUI thread!
110+
*/
111+
private void updateStateView(int itCount, Collection<Individual<Double>> gen) {
112+
Platform.runLater(() -> updateStateViewLater(itCount, gen));
113+
simPaneCtrl.waitAfterStep();
114+
}
115+
116+
/**
117+
* Must be called by the GUI thread!
118+
*/
119+
private void updateStateViewLater(int itCount, Collection<Individual<Double>> gen) {
120+
funcPlotterCtrl.update();
121+
if (gen != null) {
122+
for (Individual<Double> ind : gen) {
123+
Optional<Paint> fill = Optional.empty();
124+
if (ind.getDescendants() > 0)
125+
fill = Optional.of(Color.rgb(Math.max(255 - ind.getDescendants() * 20, 0), 0, 0));
126+
else
127+
fill = Optional.of(Color.RED.brighter());
128+
double x = ind.getRepresentation().get(0);
129+
funcPlotterCtrl.setMarker(x, fill);
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}
131+
simPaneCtrl.setStatus(experiment.getIterationInfo(itCount, gen));
132+
} else {
133+
simPaneCtrl.setStatus("");
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}
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}
136+
}

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