Slowly refactoring Parameters to fit the GUI a little better...

2 files changed, 63 insertions, 0 deletions

diff --git a/src/jcgp/modules/ea/EvolutionaryAlgorithm.java b/src/jcgp/modules/ea/EvolutionaryAlgorithm.java
new file mode 100644
index 0000000..8de8c87
--- /dev/null
+++ b/src/jcgp/modules/ea/EvolutionaryAlgorithm.java
@@ -0,0 +1,13 @@
+package jcgp.modules.ea;
+
+import jcgp.modules.mutator.Mutator;
+import jcgp.population.Chromosome;
+import jcgp.population.Population;
+
+public interface EvolutionaryAlgorithm {
+
+	public abstract void evolve(Population population, Mutator mutator);
+
+	public abstract Chromosome getFittestChromosome();
+
+}
diff --git a/src/jcgp/modules/ea/StandardEA.java b/src/jcgp/modules/ea/StandardEA.java
new file mode 100644
index 0000000..2db8776
--- /dev/null
+++ b/src/jcgp/modules/ea/StandardEA.java
@@ -0,0 +1,50 @@
+package jcgp.modules.ea;
+
+import jcgp.modules.mutator.Mutator;
+import jcgp.parameters.Parameters;
+import jcgp.parameters.IntegerParameter;
+import jcgp.parameters.BooleanParameter;
+import jcgp.population.Chromosome;
+import jcgp.population.Population;
+
+/**
+ * (1 + λ) EA.
+ * 
+ * 
+ * @author Eduardo Pedroni
+ *
+ */
+public class StandardEA implements EvolutionaryAlgorithm {
+	
+	private Chromosome fittestChromosome;
+
+	@Override
+	public void evolve(Population population, Mutator mutator) {
+		// select fittest chromosome
+		int fittest = 0;
+		
+		for (int i = 1; i < ((IntegerParameter) Parameters.get("population")).getValue(); i++) {
+			if (population.getChromosome(i).getFitness() >= population.getChromosome(fittest).getFitness()) {
+				fittest = i;
+			}
+		}
+		fittestChromosome = population.getChromosome(fittest);
+		population.setBestIndividual(fittest);
+		if (((BooleanParameter) Parameters.get("debug")).getValue()) {
+			System.out.println("Best fitness: " + fittestChromosome.getFitness());
+		}
+		// create copies of fittest chromosome, mutate them
+		Chromosome fc = population.getChromosome(fittest);
+		for (int i = 0; i < ((IntegerParameter) Parameters.get("population")).getValue(); i++) {
+			if (i != fittest) {
+				population.getChromosome(i).copyConnections(fc);
+				mutator.mutate(population.getChromosome(i));
+			}
+		}
+	}
+
+	@Override
+	public Chromosome getFittestChromosome() {
+		return fittestChromosome;
+	}
+}