/*******************************************************************************
* Copyright 2012 Yuriy Lagodiuk
*
* 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.lagodiuk.gp.symbolic.example;
import java.util.LinkedList;
import java.util.List;
import com.lagodiuk.gp.symbolic.SymbolicRegressionEngine;
import com.lagodiuk.gp.symbolic.SymbolicRegressionIterationListener;
import com.lagodiuk.gp.symbolic.interpreter.Expression;
import com.lagodiuk.gp.symbolic.interpreter.Functions;
public class Launcher {
public static void main(String[] args) {
SymbolicRegressionEngine sr = new SymbolicRegressionEngine(new TestExpressionFitness2(), list("x", "y"), list(Functions.values()));
sr.addIterationListener(new SymbolicRegressionIterationListener() {
private double prevFitValue = -1;
@Override
public void update(SymbolicRegressionEngine engine) {
Expression bestSyntaxTree = engine.getBestSyntaxTree();
double currFitValue = engine.fitness(bestSyntaxTree);
if (Double.compare(currFitValue, this.prevFitValue) != 0) {
System.out.println("Func = " + bestSyntaxTree.print());
}
System.out.println(String.format("%s \t %s", engine.getIteration(), currFitValue));
this.prevFitValue = currFitValue;
if (currFitValue < 10) {
engine.terminate();
}
}
});
sr.evolve(200);
System.out.println(sr.getBestSyntaxTree().print());
}
private static List list(T... items) {
List list = new LinkedList();
for (T item : items) {
list.add(item);
}
return list;
}
}
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