From b0c0698e5503c2506217117bf144fde31e6f6601 Mon Sep 17 00:00:00 2001 From: Eduardo Pedroni Date: Fri, 25 Apr 2014 19:38:16 +0100 Subject: Commented lots of packages. --- .../modules/problem/DigitalCircuitProblem.java | 20 ++++------ src/jcgp/backend/modules/problem/Problem.java | 28 ++++++++++++++ .../modules/problem/SymbolicRegressionProblem.java | 28 ++++---------- .../backend/modules/problem/TestCaseProblem.java | 8 +++- .../modules/problem/TravellingSalesmanProblem.java | 43 ++++++++++++++++++++++ 5 files changed, 93 insertions(+), 34 deletions(-) create mode 100644 src/jcgp/backend/modules/problem/TravellingSalesmanProblem.java (limited to 'src/jcgp/backend/modules/problem') diff --git a/src/jcgp/backend/modules/problem/DigitalCircuitProblem.java b/src/jcgp/backend/modules/problem/DigitalCircuitProblem.java index 3c30e4c..099f527 100644 --- a/src/jcgp/backend/modules/problem/DigitalCircuitProblem.java +++ b/src/jcgp/backend/modules/problem/DigitalCircuitProblem.java @@ -1,6 +1,6 @@ package jcgp.backend.modules.problem; -import jcgp.backend.function.BitwiseLogic; +import jcgp.backend.function.DigitalCircuitFunctions; import jcgp.backend.function.UnsignedInteger; import jcgp.backend.population.Chromosome; import jcgp.backend.population.Population; @@ -10,14 +10,13 @@ public class DigitalCircuitProblem extends TestCaseProblem { public DigitalCircuitProblem(Resources resources) { super(resources); - functionSet = new BitwiseLogic(); + functionSet = new DigitalCircuitFunctions(); + setProblemName("Symbolic regression"); + setFileExtension(".plu"); } @Override public void evaluate(Population population, Resources resources) { - // set fittest to 0, change it whenever a fitter one is found - population.setFittest(0); - // for every chromosome in the population for (int i = 0; i < resources.populationSize(); i++) { // assume an initial fitness of 0 @@ -42,10 +41,10 @@ public class DigitalCircuitProblem extends TestCaseProblem { // assign the resulting fitness to the respective individual population.getChromosome(i).setFitness(fitness); - if (fitness >= population.getFittest().getFitness()) { - population.setFittest(i); - } } + + // sort population + population.sortAscending(); } @Override @@ -77,9 +76,4 @@ public class DigitalCircuitProblem extends TestCaseProblem { public boolean isPerfectSolution(Chromosome fittest) { return fittest.getFitness() >= maxFitness.get(); } - - @Override - public String getFileExtension() { - return ".plu"; - } } diff --git a/src/jcgp/backend/modules/problem/Problem.java b/src/jcgp/backend/modules/problem/Problem.java index d01f5b0..07183ea 100644 --- a/src/jcgp/backend/modules/problem/Problem.java +++ b/src/jcgp/backend/modules/problem/Problem.java @@ -1,14 +1,19 @@ package jcgp.backend.modules.problem; +import java.io.File; + import jcgp.backend.function.FunctionSet; import jcgp.backend.modules.Module; import jcgp.backend.population.Chromosome; import jcgp.backend.population.Population; +import jcgp.backend.resources.ModifiableResources; import jcgp.backend.resources.Resources; public abstract class Problem implements Module { protected FunctionSet functionSet; + private String fileExtension = ".*"; + private String name = this.getClass().getSimpleName(); public abstract void evaluate(Population population, Resources resources); @@ -17,4 +22,27 @@ public abstract class Problem implements Module { } public abstract boolean isPerfectSolution(Chromosome fittest); + + public abstract void parse(File file, ModifiableResources resources); + + public void setFileExtension(String fileExtension) { + this.fileExtension = fileExtension; + } + + public String getFileExtension() { + return fileExtension; + } + + public void setProblemName(String newName) { + this.name = newName; + } + + public String getProblemName() { + return name; + } + + @Override + public String toString() { + return name; + } } diff --git a/src/jcgp/backend/modules/problem/SymbolicRegressionProblem.java b/src/jcgp/backend/modules/problem/SymbolicRegressionProblem.java index 52df0f2..5468157 100644 --- a/src/jcgp/backend/modules/problem/SymbolicRegressionProblem.java +++ b/src/jcgp/backend/modules/problem/SymbolicRegressionProblem.java @@ -1,6 +1,6 @@ package jcgp.backend.modules.problem; -import jcgp.backend.function.DoubleArithmetic; +import jcgp.backend.function.SymbolicRegressionFunctions; import jcgp.backend.population.Chromosome; import jcgp.backend.population.Population; import jcgp.backend.resources.Resources; @@ -16,7 +16,9 @@ public class SymbolicRegressionProblem extends TestCaseProblem { public SymbolicRegressionProblem(Resources resources) { super(resources); - functionSet = new DoubleArithmetic(); + functionSet = new SymbolicRegressionFunctions(); + setProblemName("Symbolic regression"); + setFileExtension(".dat"); errorThreshold = new DoubleParameter(0.01, "Error threshold") { @Override public void validate(Number newValue) { @@ -45,7 +47,7 @@ public class SymbolicRegressionProblem extends TestCaseProblem { } } }; - hitsBasedFitness = new BooleanParameter(true, "Hits-based fitness") { + hitsBasedFitness = new BooleanParameter(true, "HITS-based fitness") { @Override public void validate(Boolean newValue) { // blank @@ -55,9 +57,6 @@ public class SymbolicRegressionProblem extends TestCaseProblem { @Override public void evaluate(Population population, Resources resources) { - // set fittest to 0, change it whenever a fitter one is found - population.setFittest(0); - // for every chromosome in the population for (int i = 0; i < resources.populationSize(); i++) { // assume an initial fitness of 0 @@ -81,18 +80,12 @@ public class SymbolicRegressionProblem extends TestCaseProblem { } // assign the resulting fitness to the respective individual population.getChromosome(i).setFitness(fitness); - if (fitness >= population.getFittest().getFitness()) { - population.setFittest(i); - } } + + // sort population + population.sortAscending(); } - - @Override - public String toString() { - return "Symbolic regression"; - } - @Override public void addTestCase(String[] inputs, String[] outputs) { Double[] inputCases = new Double[inputs.length]; @@ -116,9 +109,4 @@ public class SymbolicRegressionProblem extends TestCaseProblem { public Parameter[] getLocalParameters() { return new Parameter[]{maxFitness, errorThreshold, perfectionThreshold, hitsBasedFitness}; } - - @Override - public String getFileExtension() { - return ".dat"; - } } diff --git a/src/jcgp/backend/modules/problem/TestCaseProblem.java b/src/jcgp/backend/modules/problem/TestCaseProblem.java index d8dd32b..6c4a7dc 100644 --- a/src/jcgp/backend/modules/problem/TestCaseProblem.java +++ b/src/jcgp/backend/modules/problem/TestCaseProblem.java @@ -1,9 +1,12 @@ package jcgp.backend.modules.problem; +import java.io.File; import java.util.List; import javafx.collections.FXCollections; import javafx.collections.ObservableList; +import jcgp.backend.parsers.TestCaseParser; +import jcgp.backend.resources.ModifiableResources; import jcgp.backend.resources.Resources; import jcgp.backend.resources.parameters.DoubleParameter; import jcgp.backend.resources.parameters.Parameter; @@ -116,7 +119,10 @@ public abstract class TestCaseProblem extends Problem { testCases.clear(); } - public abstract String getFileExtension(); + public void parse(File file, ModifiableResources resources) { + TestCaseParser.parseParameters(file, resources); + TestCaseParser.parse(file, this, resources); + } } diff --git a/src/jcgp/backend/modules/problem/TravellingSalesmanProblem.java b/src/jcgp/backend/modules/problem/TravellingSalesmanProblem.java new file mode 100644 index 0000000..6491ec6 --- /dev/null +++ b/src/jcgp/backend/modules/problem/TravellingSalesmanProblem.java @@ -0,0 +1,43 @@ +package jcgp.backend.modules.problem; + +import java.io.File; + +import jcgp.backend.function.TravellingSalesmanFunctions; +import jcgp.backend.population.Chromosome; +import jcgp.backend.population.Population; +import jcgp.backend.resources.ModifiableResources; +import jcgp.backend.resources.Resources; +import jcgp.backend.resources.parameters.Parameter; + +public class TravellingSalesmanProblem extends Problem { + + public TravellingSalesmanProblem(Resources resources) { + functionSet = new TravellingSalesmanFunctions(); + setProblemName("Travelling salesman"); + setFileExtension(".tsp"); + } + + @Override + public Parameter[] getLocalParameters() { + // TODO Auto-generated method stub + return null; + } + + @Override + public void evaluate(Population population, Resources resources) { + // TODO Auto-generated method stub + + } + + @Override + public boolean isPerfectSolution(Chromosome fittest) { + // TODO Auto-generated method stub + return false; + } + + @Override + public void parse(File file, ModifiableResources resources) { + // TODO Auto-generated method stub + + } +} -- cgit v1.2.3