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mikebarkminmikebarkmin
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add evolutionary algorithms
1 parent 48a4ff5 commit d3c4bc9

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‎archives/one-max/+libs/scratch4j-windows-amd64.jar

10.7 MB
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‎archives/one-max/DNA.ctxt

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#BlueJ class context
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comment0.target=DNA
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comment1.params=numberOfGenes\ pGeneSet
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comment1.target=DNA(int,\ char[])
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comment2.params=target
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comment2.target=void\ calculateFit(java.lang.String)
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comment3.params=
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comment3.target=float\ getFit()
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comment4.params=
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comment4.target=java.lang.String\ getPhrase()
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comment5.params=mate
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comment5.target=DNA\ crossover(DNA)
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comment6.params=mutationrate
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comment6.target=void\ mutate(float)
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comment7.params=
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comment7.target=char\ randomGene()
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numComments=8

‎archives/one-max/DNA.java

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public class DNA {
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private char[] genes;
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private float fit;
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private char[] geneSet;
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public DNA(int numberOfGenes, char[] pGeneSet) {
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this.geneSet = pGeneSet;
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genes = new char[numberOfGenes];
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for (int i = 0; i < genes.length; i++) {
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genes[i] = this.randomGene();
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}
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}
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public void calculateFit(String target) {
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int score = 0;
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for (int i = 0; i < genes.length; i++) {
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if (genes[i] == target.charAt(i)) {
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score++;
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}
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}
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fit = (float) score / (float) target.length();
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}
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public float getFit() {
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return fit;
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}
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public String getPhrase() {
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if (genes.length > 60) {
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return new String(genes).substring(0, 60) + "...";
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}
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return new String(genes);
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}
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public DNA crossover(DNA mate) {
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DNA kind = new DNA(genes.length, this.geneSet);
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int cutoff = (int) (Math.random() * genes.length);
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for (int i = 0; i < genes.length; i++) {
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if (i > cutoff) {
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kind.genes[i] = this.genes[i];
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} else {
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kind.genes[i] = mate.genes[i];
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}
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}
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return kind;
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}
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public void mutate(float mutationrate) {
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for (int i = 0; i < genes.length; i++) {
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if (Math.random() < mutationrate) {
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genes[i] = this.randomGene();
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}
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}
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}
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private char randomGene() {
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int randomIndex = (int) (Math.random() * this.geneSet.length);
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char gene = this.geneSet[randomIndex];
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return gene;
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}
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}

‎archives/one-max/OneMax.ctxt

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#BlueJ class context
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comment0.target=OneMax
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comment1.params=
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comment1.target=OneMax()
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comment2.params=
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comment2.target=void\ run()
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comment3.params=args
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comment3.target=void\ main(java.lang.String[])
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numComments=4

‎archives/one-max/OneMax.java

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import org.openpatch.scratch.*;
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import org.openpatch.scratch.extensions.text.*;
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public class OneMax extends Stage {
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private Text bestPhrase;
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private Text allPhrases;
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private Text statistics;
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private String target;
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private int populationsize;
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private float mutationrate;
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private char[] geneSet;
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private Population population;
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public OneMax() {
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super(1000, 600);
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this.target = "1".repeat(10000);
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this.populationsize = 50;
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this.mutationrate = 0.02f;
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this.geneSet = "01".toCharArray();
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this.bestPhrase = new Text();
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this.bestPhrase.addFont("comic", "assets/Singkong.ttf");
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this.bestPhrase.setPosition(-490, 250);
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this.bestPhrase.setAlign(TextAlign.LEFT);
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this.bestPhrase.setTextSize(20);
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this.bestPhrase.switchFont("comic");
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this.bestPhrase.setTextColor(200, 50, 50);
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this.add(this.bestPhrase);
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this.allPhrases = new Text();
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this.allPhrases.setPosition(0, 250);
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this.allPhrases.setAlign(TextAlign.LEFT);
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this.add(this.allPhrases);
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this.statistics = new Text();
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this.statistics.setPosition(-490, 100);
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this.statistics.setAlign(TextAlign.LEFT);
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this.add(this.statistics);
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this.population = new Population(this.target, this.mutationrate, this.populationsize, this.geneSet);
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}
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public void run() {
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// run may execute before the execution of the constructor of Shakespear
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// is finished. Therefore, we need to test if population is set.
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// This does only relevant for single Stage mode.
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if (this.population != null && !this.population.isFinished()) {
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this.population.naturalselection();
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this.population.newGeneration();
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this.population.calculateFit();
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this.population.evaluate();
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String statisticText = "";
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statisticText += "Generations: " + this.population.getGeneration() + "\n";
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statisticText += "Average Fit: " + this.population.getAverageFit() + "\n";
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statisticText += "Best Fit: " + this.population.getBest().getFit() + "\n";
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statisticText += "Populationsize: " + this.populationsize + "\n";
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statisticText += "Mutationrate: " + Math.round(this.mutationrate * 100) + "%\n";
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this.statistics.showText(statisticText);
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this.bestPhrase.showText("Best Guess:\n" + this.population.getBest().getPhrase());
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this.allPhrases.showText("All Guesses:\n" + this.population.getAllPhrases(25));
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}
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}
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public static void main(String[] args) {
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new OneMax();
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}
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}

‎archives/one-max/Population.ctxt

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#BlueJ class context
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comment0.target=Population
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comment1.params=pTarget\ pMutationrate\ pNumber\ pGeneSet
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comment1.target=Population(java.lang.String,\ float,\ int,\ char[])
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comment10.params=limit
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comment10.target=java.lang.String\ getAllPhrases(int)
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comment2.params=
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comment2.target=void\ calculateFit()
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comment3.params=
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comment3.target=void\ naturalselection()
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comment4.params=
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comment4.target=void\ newGeneration()
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comment5.params=
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comment5.target=DNA\ getBest()
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comment6.params=
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comment6.target=void\ evaluate()
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comment7.params=
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comment7.target=boolean\ isFinished()
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comment8.params=
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comment8.target=int\ getGeneration()
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comment9.params=
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comment9.target=float\ getAverageFit()
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numComments=11

‎archives/one-max/Population.java

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public class Population {
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private int generations;
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private boolean finished;
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private float mutationrate;
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private String target;
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private DNA[] population;
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private DNA[] matingpool;
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private DNA best;
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private char[] geneSet;
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public Population(String pTarget, float pMutationrate, int pNumber, char[] pGeneSet) {
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this.population = new DNA[pNumber];
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this.mutationrate = pMutationrate;
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this.geneSet = pGeneSet;
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this.target = pTarget;
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this.generations = 0;
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this.finished = false;
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for (int i = 0; i < pNumber; i++) {
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this.population[i] = new DNA(pTarget.length(), pGeneSet);
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}
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this.best = this.population[0];
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}
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public void calculateFit() {
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for (int i = 0; i < this.population.length; i++) {
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this.population[i].calculateFit(this.target);
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}
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}
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public void naturalselection() {
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int requiredPlaces = 0;
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for (int i = 0; i < this.population.length; i++) {
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requiredPlaces += (int) (this.population[i].getFit() * 100);
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}
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this.matingpool = new DNA[requiredPlaces];
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int nextPlace = 0;
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for (int i = 0; i < this.population.length; i++) {
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int place = (int) (this.population[i].getFit() * 100);
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for (int j = 0; j < place; j++) {
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this.matingpool[nextPlace] = this.population[i];
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nextPlace++;
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}
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}
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}
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public void newGeneration() {
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if (matingpool.length > 1) {
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for (int i = 0; i < this.population.length; i++) {
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int a = (int) (Math.random() * matingpool.length);
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int b = (int) (Math.random() * matingpool.length);
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DNA mateA = matingpool[a];
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DNA mateB = matingpool[b];
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DNA child = mateA.crossover(mateB);
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child.mutate(mutationrate);
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population[i] = child;
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}
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} else {
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for (int i = 0; i < this.population.length; i++) {
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population[i].mutate(mutationrate);
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}
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}
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this.generations += 1;
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}
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public DNA getBest() {
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return this.best;
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}
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public void evaluate() {
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float worldrecord = 0;
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for (int i = 0; i < this.population.length; i++) {
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if (this.population[i].getFit() > worldrecord) {
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best = this.population[i];
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worldrecord = this.population[i].getFit();
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}
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}
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if (worldrecord == 1) {
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this.finished = true;
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}
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}
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public boolean isFinished() {
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return this.finished;
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}
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public int getGeneration() {
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return this.generations;
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}
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public float getAverageFit() {
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float sum = 0;
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for (int i = 0; i < this.population.length; i++) {
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sum += this.population[i].getFit();
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}
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return sum / this.population.length;
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}
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public String getAllPhrases(int limit) {
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String all = "";
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int displayLimit = Math.min(this.population.length, limit);
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for (int i = 0; i < displayLimit; i++) {
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all += this.population[i].getPhrase() + "\n";
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}
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return all;
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}
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}

‎archives/one-max/assets/Singkong.ttf

35.6 KB
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‎archives/one-max/package.bluej

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#BlueJ package file
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dependency1.from=OneMax
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dependency1.to=Population
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dependency1.type=UsesDependency
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dependency2.from=Population
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dependency2.to=DNA
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dependency2.type=UsesDependency
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editor.fx.0.height=1048
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editor.fx.0.width=960
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editor.fx.0.x=213
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editor.fx.0.y=40
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objectbench.height=93
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objectbench.width=461
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package.divider.horizontal=0.6
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package.divider.vertical=0.8003992015968064
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package.editor.height=394
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package.editor.width=649
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package.editor.x=514
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package.editor.y=200
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package.frame.height=600
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package.frame.width=800
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package.numDependencies=2
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package.numTargets=3
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package.showExtends=true
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package.showUses=true
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project.charset=UTF-8
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readme.height=60
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readme.name=@README
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readme.width=49
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readme.x=10
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readme.y=10
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target1.height=70
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target1.name=OneMax
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target1.showInterface=false
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target1.type=ClassTarget
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target1.width=120
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target1.x=10
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target1.y=90
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target2.height=70
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target2.name=DNA
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target2.showInterface=false
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target2.type=ClassTarget
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target2.width=120
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target2.x=130
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target2.y=10
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target3.height=70
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target3.name=Population
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target3.showInterface=false
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target3.type=ClassTarget
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target3.width=120
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target3.x=140
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target3.y=90

‎archives/shakespeare/+libs/scratch4j-windows-amd64.jar

10.7 MB
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