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authorEduardo Pedroni <ep625@york.ac.uk>2014-03-31 20:32:59 +0100
committerEduardo Pedroni <ep625@york.ac.uk>2014-03-31 20:32:59 +0100
commita757deacded0d7357a9f68462d3f2051e16004ee (patch)
tree4706e867ed7686a155f0c8ee16ffb3eeb74daac4 /src/jcgp/modules/ea
parent04b35ccdad6e18701ede823e333118b0b22907c2 (diff)
Need to do a few tests on windows
Diffstat (limited to 'src/jcgp/modules/ea')
-rw-r--r--src/jcgp/modules/ea/MuPlusLambda.java80
-rw-r--r--src/jcgp/modules/ea/TournamentSelection.java54
2 files changed, 134 insertions, 0 deletions
diff --git a/src/jcgp/modules/ea/MuPlusLambda.java b/src/jcgp/modules/ea/MuPlusLambda.java
new file mode 100644
index 0000000..94900ca
--- /dev/null
+++ b/src/jcgp/modules/ea/MuPlusLambda.java
@@ -0,0 +1,80 @@
+package jcgp.modules.ea;
+
+import java.util.HashMap;
+
+import jcgp.JCGP.Resources;
+import jcgp.modules.ModuleStatus;
+import jcgp.modules.mutator.Mutator;
+import jcgp.parameters.IntegerParameter;
+import jcgp.parameters.Parameter;
+import jcgp.population.Chromosome;
+import jcgp.population.Population;
+
+/**
+ * (μ + λ) EA.
+ *
+ *
+ * @author Eduardo Pedroni
+ *
+ */
+public class MuPlusLambda implements EvolutionaryAlgorithm {
+
+ private Chromosome fittestChromosome;
+
+ private IntegerParameter parents, offspring;
+
+ private HashMap<String, Parameter> localParameters;
+
+ public MuPlusLambda() {
+ parents = new IntegerParameter(1, "Parents");
+ offspring = new IntegerParameter(4, "Offspring");
+
+ localParameters = new HashMap<String, Parameter>();
+
+ localParameters.put("mu", parents);
+ localParameters.put("lambda", offspring);
+ }
+
+ @Override
+ public void evolve(Population population, Mutator mutator, Resources parameters) {
+ // select fittest chromosome
+ int fittest = 0;
+
+ for (int i = 1; i < parameters.getInt("popSize"); i++) {
+ if (population.getChromosome(i).getFitness() >= population.getChromosome(fittest).getFitness()) {
+ fittest = i;
+ }
+ }
+ fittestChromosome = population.getChromosome(fittest);
+ population.setBestIndividual(fittest);
+ // create copies of fittest chromosome, mutate them
+ Chromosome fc = population.getChromosome(fittest);
+ for (int i = 0; i < parameters.getInt("popSize"); i++) {
+ if (i != fittest) {
+ population.getChromosome(i).copyConnections(fc);
+ mutator.mutate(population.getChromosome(i), parameters);
+ }
+ }
+ }
+
+ @Override
+ public Chromosome getFittestChromosome() {
+ return fittestChromosome;
+ }
+
+ @Override
+ public HashMap<String, Parameter> getLocalParameters() {
+ return localParameters;
+ }
+
+ @Override
+ public String toString() {
+ return "(μ + λ)";
+ }
+
+ @Override
+ public ModuleStatus getStatus(Resources resources) {
+ return ModuleStatus.READY;
+ }
+
+}
diff --git a/src/jcgp/modules/ea/TournamentSelection.java b/src/jcgp/modules/ea/TournamentSelection.java
new file mode 100644
index 0000000..c2915a5
--- /dev/null
+++ b/src/jcgp/modules/ea/TournamentSelection.java
@@ -0,0 +1,54 @@
+package jcgp.modules.ea;
+
+import java.util.HashMap;
+
+import jcgp.JCGP.Resources;
+import jcgp.modules.ModuleStatus;
+import jcgp.modules.mutator.Mutator;
+import jcgp.parameters.IntegerParameter;
+import jcgp.parameters.Parameter;
+import jcgp.population.Chromosome;
+import jcgp.population.Population;
+
+public class TournamentSelection implements EvolutionaryAlgorithm {
+
+ private Chromosome fittestChromosome;
+
+ private IntegerParameter tournament;
+ private HashMap<String, Parameter> localParameters;
+
+ public TournamentSelection() {
+ tournament = new IntegerParameter(1, "Tournament size");
+
+ localParameters = new HashMap<String, Parameter>();
+ localParameters.put("tournament", tournament);
+ }
+
+ @Override
+ public HashMap<String, Parameter> getLocalParameters() {
+ return localParameters;
+ }
+
+ @Override
+ public void evolve(Population population, Mutator mutator,
+ Resources parameters) {
+
+ // TODO implement this
+
+ }
+
+ @Override
+ public Chromosome getFittestChromosome() {
+ return fittestChromosome;
+ }
+
+ @Override
+ public String toString() {
+ return "Tournament";
+ }
+
+ @Override
+ public ModuleStatus getStatus(Resources resources) {
+ return null;
+ }
+}