Implemented more tests, refactored chromosome more, added the beginnings of active node detection

9 files changed, 363 insertions, 212 deletions

diff --git a/src/jcgp/Utilities.java b/src/jcgp/Utilities.java
index f052595..394a481 100644
--- a/src/jcgp/Utilities.java
+++ b/src/jcgp/Utilities.java
@@ -25,62 +25,6 @@ public class Utilities {
 	}
 
 	/**
-	 * Returns a random allowed connection respecting levels back.
-	 * This method may always pick inputs, as they can be picked
-	 * regardless of the column.
-	 * 
-	 * TODO remove?
-	 * 
-	 * @param chromosome the chromosome to pick from
-	 * @param column the column to use as reference
-	 * @return a random connection
-	 */
-	public static Connection getRandomConnection(Chromosome chromosome, int column){
-		// work out the allowed range obeying levels back
-		int allowedColumns = ((column >= Parameters.getLevelsBack()) ? Parameters.getLevelsBack() : column);
-		int offset = column - allowedColumns;
-
-		// choose input or node
-		int connectionType = getRandomInt(Parameters.getInputs() + (Parameters.getRows() * allowedColumns));
-		if (connectionType < Parameters.getInputs()) {
-			// input
-			return chromosome.getInput(getRandomInt(Parameters.getInputs()));
-		} else {
-			// node				
-			return chromosome.getNode(getRandomInt(Parameters.getRows()), getRandomInt(allowedColumns) + offset);
-		}
-	}
-
-	/**
-	 * Returns a random allowed connection. 
-	 * 
-	 * This method may always pick inputs, as they can be picked
-	 * regardless of the column.
-	 * 
-	 * TODO remove?
-	 * 
-	 * @param chromosome the chromosome to pick from
-	 * @param column the column to use as reference
-	 * @param levelsBack whether or not to respect levels back
-	 * @return a random connection
-	 */
-	public static Connection getRandomConnection(Chromosome chromosome, int column, boolean levelsBack){
-		if (levelsBack) {
-			return getRandomConnection(chromosome, column);
-		} else {
-			// choose input or node
-			int connectionType = getRandomInt(Parameters.getInputs() + (Parameters.getRows() * column));
-			if (connectionType < Parameters.getInputs()) {
-				// input
-				return chromosome.getInput(getRandomInt(Parameters.getInputs()));
-			} else {
-				// node				
-				return chromosome.getNode(getRandomInt(Parameters.getRows()), getRandomInt(column));
-			}
-		}
-	}
-
-	/**
 	 * @param chromosome the chromosome to choose from
 	 * @return a random input
 	 */
@@ -131,28 +75,6 @@ public class Utilities {
 		}
 	}
 
-	/**
-	 * This method picks a random mutable element from the given chromosome.
-	 * 
-	 * It will pick outputs or nodes fairly.
-	 * 
-	 * TODO probably remove this
-	 * 
-	 * @param chromosome the chromosome to pick from
-	 * @return a random mutable element
-	 */
-	public static MutableElement getRandomMutable(Chromosome chromosome){
-		// choose output or node
-		int connectionType = getRandomInt(Parameters.getOutputs() + Parameters.getNodeCount());
-
-		if (connectionType < Parameters.getOutputs()) {
-			// outputs
-			return chromosome.getOutput(getRandomInt(Parameters.getOutputs()));
-		} else {
-			// node				
-			return chromosome.getNode(getRandomInt(Parameters.getRows()), getRandomInt(Parameters.getRows()));
-		}
-	}		
 
 	/**
 	 * pick from any column - use this for setting outputs
diff --git a/src/jcgp/ea/StandardMutator.java b/src/jcgp/ea/StandardMutator.java
index 8af3f5c..6a4af1a 100644
--- a/src/jcgp/ea/StandardMutator.java
+++ b/src/jcgp/ea/StandardMutator.java
@@ -14,18 +14,18 @@ public class StandardMutator implements Mutator {
 		int mutations = (int) (Parameters.getMutationRate() * ((double) Parameters.getNodeCount() / 100));
 		
 		for (int i = 0; i < mutations; i++) {
-			MutableElement m = Utilities.getRandomMutable(chromosome);
-			
-			if (m instanceof Output) {
-				m.setConnection(Utilities.getRandomConnection(chromosome, m.getColumn()));
-			} else if (m instanceof Node) {
-				int geneType = Utilities.getRandomInt(1 + Parameters.getMaxArity());
-				if (geneType < 1) {
-					((Node) m).setFunction(Utilities.getRandomFunction());
-				} else {
-					m.setConnection(Utilities.getRandomConnection(chromosome, m.getColumn()));
-				}
-			}
+			MutableElement m = chromosome.getRandomMutableElement();
+//			
+//			if (m instanceof Output) {
+//				m.setConnection(chromosome.getRandomConnection(m.getColumn()));
+//			} else if (m instanceof Node) {
+//				int geneType = Utilities.getRandomInt(1 + Parameters.getMaxArity());
+//				if (geneType < 1) {
+//					((Node) m).setFunction(Utilities.getRandomFunction());
+//				} else {
+//					m.setConnection(chromosome.getRandomConnection(m.getColumn()));
+//				}
+//			}
 		}
 	}
 }
diff --git a/src/jcgp/population/Chromosome.java b/src/jcgp/population/Chromosome.java
index 0dc3ff9..1f264f2 100644
--- a/src/jcgp/population/Chromosome.java
+++ b/src/jcgp/population/Chromosome.java
@@ -1,5 +1,7 @@
 package jcgp.population;
 
+import java.util.ArrayList;
+
 import jcgp.Parameters;
 import jcgp.Utilities;
 import jcgp.fitness.ParameterMismatchException;
@@ -9,11 +11,15 @@ public class Chromosome {
 	private Input[] inputs;
 	private Node[][] nodes;
 	private Output[] outputs;
+	
+	private ArrayList<Connection> activeNodes;
 
 	private int fitness = 0;
+	private boolean recomputeActiveNodes = true;
 
 	/**
-	 * Good citizen.
+	 * Initialise a chromosome with the specified parameters. Random valid connections
+	 * are created.
 	 * 
 	 * @param outputs 
 	 * @param columns 
@@ -21,61 +27,110 @@ public class Chromosome {
 	 * @param inputs 
 	 * 
 	 */
-	public Chromosome(int inputCount, int rows, int columns, int outputCount) {
-
-		instantiateElements(inputCount, rows, columns, outputCount);
-
+	public Chromosome() {
+		// allocate memory for all elements of the chromosome
+		instantiateElements();
+		// set random connections so that the chromosome can be evaluated
 		initialiseConnections();
+	}
 
+	/**
+	 * Copy constructor.
+	 * 
+	 * Initialise a new chromosome with the exact same connections as a given instance of Chromosome.
+	 * 
+	 * @param clone the chromosome to be copied
+	 */
+	public Chromosome(Chromosome clone) {
+		// allocate memory for all elements of the chromosome
+		instantiateElements();
+		// initialise all connections based on argument
+		copyConnections(clone);
 	}
 
 	/**
-	 * @param inputCount
-	 * @param rows
-	 * @param columns
-	 * @param outputCount
+	 *
 	 */
-	private void instantiateElements(int inputCount, int rows, int columns,	int outputCount) {
-		inputs = new Input[inputCount];
-		for (int i = 0; i < inputCount; i++) {
-			inputs[i] = new Input();
+	private void instantiateElements() {
+		inputs = new Input[Parameters.getInputs()];
+		for (int i = 0; i < Parameters.getInputs(); i++) {
+			inputs[i] = new Input(i);
 		}
 
 		// rows first
-		nodes = new Node[rows][columns];
-		for (int r = 0; r < rows; r++) {
-			//nodes[r] = new Node[Parameters.getColumns()];
-			for (int c = 0; c < columns; c++) {
-				nodes[r][c] = new Node(r, c);
+		nodes = new Node[Parameters.getRows()][Parameters.getColumns()];
+		for (int r = 0; r < Parameters.getRows(); r++) {
+			for (int c = 0; c < Parameters.getColumns(); c++) {
+				nodes[r][c] = new Node(this, r, c);
 			}
 		}
-		outputs = new Output[outputCount];
-		for (int o = 0; o < outputCount; o++) {
-			outputs[o] = new Output(o);
+		outputs = new Output[Parameters.getOutputs()];
+		for (int o = 0; o < Parameters.getOutputs(); o++) {
+			outputs[o] = new Output(this, o);
 		}
 	}
 
+	/**
+	 * 
+	 */
 	private void initialiseConnections() {
 
 		// initialise nodes - [rows][columns]
 		for (int r = 0; r < nodes.length; r++) {
-			for (int c = 0; c < nodes.length; c++) {
+			for (int c = 0; c < nodes[r].length; c++) {
 				Connection[] connections = new Connection[Parameters.getMaxArity()];
 				for (int i = 0; i < connections.length; i++) {
-					connections[i] = Utilities.getRandomConnection(this, c);
+					connections[i] = getRandomConnection(c);
 				}
 				nodes[r][c].initialise(Utilities.getRandomFunction(), connections);
 			}
 		}
 
 		for (Output output : outputs) {
-			output.setConnection(Utilities.getRandomNode(this));
+			output.setConnection(getRandomConnection());
 		}
 
 	}
 
-	public int getActiveNodeCount() {
-		return 0;
+	/**
+	 * @param clone
+	 */
+	private void copyConnections(Chromosome clone) {
+		// copy nodes - [rows][columns]
+		for (int r = 0; r < nodes.length; r++) {
+			for (int c = 0; c < nodes[r].length; c++) {
+				// make array of connections to initialise with
+				Connection[] connections = new Connection[Parameters.getMaxArity()];
+				// populate with connections equivalent to clone
+				Connection copyConnection;
+				for (int i = 0; i < connections.length; i++) {
+					copyConnection = clone.getNode(r, c).getConnections(i);
+					if (copyConnection instanceof Input) {
+						connections[i] = inputs[((Input) copyConnection).getIndex()];
+					} else if (copyConnection instanceof Node) {
+						connections[i] = nodes[((Node) copyConnection).getRow()][((Node) copyConnection).getColumn()];
+					} else {
+						System.out.println("Warning: Connection of subtype " + copyConnection.getClass().toString() + " is not explicitly handled by copy constructor.");
+					}
+				}
+				// initialise with copied arguments
+				nodes[r][c].initialise(clone.getNode(r, c).getFunction(), connections);
+			}
+		}
+		
+		// do the same to outputs
+		Connection copyOutput;
+		for (int o = 0; o < outputs.length; o++) {
+			copyOutput = clone.getOutput(o).getSource();
+			if (copyOutput instanceof Input) {
+				outputs[o].setConnection(inputs[((Input) copyOutput).getIndex()]);
+			} else if (copyOutput instanceof Node) {
+				outputs[o].setConnection(nodes[((Node) copyOutput).getRow()][((Node) copyOutput).getColumn()]);
+			} else {
+				// something bad happened
+				System.out.println("Warning: Connection of subtype " + copyOutput.getClass().toString() + " is not explicitly handled by copy constructor.");
+			}
+		}
 	}
 
 	public Node getNode(int row, int column) {
@@ -110,6 +165,11 @@ public class Chromosome {
 		}
 	}
 
+	/**
+	 * This method is useful for mutating chromosomes.
+	 * 
+	 * @return a random element that can be mutated - Node or Output
+	 */
 	public MutableElement getRandomMutableElement() {
 		// choose output or node
 		int index = Utilities.getRandomInt(outputs.length + Parameters.getNodeCount());
@@ -123,9 +183,9 @@ public class Chromosome {
 			return nodes[index / Parameters.getColumns()][index % Parameters.getColumns()];
 		}
 	}
-	
+
 	/**
-	 * Returns a random allowed connection respecting levels back.
+	 * Returns a random allowed connection respecting levels back.</br>
 	 * This method may always pick inputs, as they can be picked
 	 * regardless of the column.
 	 * 
@@ -133,41 +193,71 @@ public class Chromosome {
 	 * @return a random connection
 	 */
 	public Connection getRandomConnection(int column) {
-		
-		
-		
-		return null;
-		
+		// work out the allowed range obeying levels back
+		int allowedColumns = ((column >= Parameters.getLevelsBack()) ? Parameters.getLevelsBack() : column);
+		int offset = ((column - allowedColumns) * nodes.length) - inputs.length;
+
+		// choose input or allowed node
+		int index = Utilities.getRandomInt(inputs.length + (nodes.length * allowedColumns));
+		if (index < inputs.length) {
+			// input
+			return inputs[index];
+		} else {
+			// node	
+			// offset it to address the right columns
+			index += offset;
+			return nodes[index % nodes.length][index / nodes.length];
+		}
 	}
-	
+
 	/**
-	 * Returns a random allowed connection. 
+	 * This method will pick a completely random connection, independently
+	 * of levels back, including inputs.
 	 * 
-	 * This method may always pick inputs, as they can be picked
-	 * regardless of the column.
+	 * Useful for setting outputs.
 	 * 
-	 * TODO optimise for less random generations
 	 * 
-	 * @param column the column to use as reference
-	 * @param levelsBack whether or not to respect levels back
 	 * @return a random connection
 	 */
-	public Connection getRandomConnection(int column, boolean levelsBack) {
-		
-		if (levelsBack) {
-			return getRandomConnection(chromosome, column);
+	public Connection getRandomConnection() {
+		// choose output or node
+		int index = Utilities.getRandomInt(inputs.length + Parameters.getNodeCount());
+
+		if (index < inputs.length) {
+			// outputs
+			return inputs[index];
 		} else {
-			// choose input or node
-			int connectionType = Utilities.getRandomInt(inputs.length + (nodes.length * column));
-			if (connectionType < inputs.length) {
-				// input
-				return chromosome.getInput(getRandomInt(Parameters.getInputs()));
-			} else {
-				// node				
-				return chromosome.getNode(getRandomInt(Parameters.getRows()), getRandomInt(column));
-			}
+			// node	
+			index -= inputs.length;
+			return nodes[index / Parameters.getColumns()][index % Parameters.getColumns()];
 		}
-		
+	}
+	
+	/**
+	 * This causes the list of active nodes to be recomputed lazily (once it is actually requested).
+	 */
+	public void recomputeActiveNodes() {
+		recomputeActiveNodes = true;
+	}
+	
+	/**
+	 * This method computes a list of active nodes (if necessary) and returns it.
+	 *
+	 * @return
+	 */
+	public ArrayList<Connection> getActiveNodes() {
+		// lazy recomputation has been triggered, do it
+		if (recomputeActiveNodes) {
+			recomputeActiveNodes = false;
+			activeNodes = new ArrayList<Connection>();
+			
+			for (int r = 0; r < nodes.length; r++) {
+				for (int c = 0; c < nodes[r].length; c++) {
+					
+				}
+			}
+		}		
+		return activeNodes;
 	}
 
 }
diff --git a/src/jcgp/population/Input.java b/src/jcgp/population/Input.java
index e00573e..ee008ce 100644
--- a/src/jcgp/population/Input.java
+++ b/src/jcgp/population/Input.java
@@ -2,7 +2,11 @@ package jcgp.population;
 
 public class Input implements Connection {
 	
-	private int value = 0;
+	private int value = 0, index;
+	
+	public Input(int index) {
+		this.index = index;
+	}
 	
 	public void setValue(int newValue) {
 		value = newValue;
@@ -13,4 +17,8 @@ public class Input implements Connection {
 		return value;
 	}
 
+	public int getIndex() {
+		return index;
+	}
+
 }
diff --git a/src/jcgp/population/MutableElement.java b/src/jcgp/population/MutableElement.java
index c21ee0b..5eae4ef 100644
--- a/src/jcgp/population/MutableElement.java
+++ b/src/jcgp/population/MutableElement.java
@@ -4,8 +4,4 @@ public interface MutableElement {
 	
 	public void setConnection(Connection newConnection);
 	
-	public int getColumn();
-
-	public int getRow();
-	
 }
diff --git a/src/jcgp/population/Node.java b/src/jcgp/population/Node.java
index 3dbabb2..40ffa52 100644
--- a/src/jcgp/population/Node.java
+++ b/src/jcgp/population/Node.java
@@ -10,8 +10,10 @@ public class Node implements MutableElement, Connection {
 	private Function function;
 	private Connection[] connections;
 	private int column, row;
+	private Chromosome chromosome;
 
-	public Node(int row, int column) {
+	public Node(Chromosome chromosome, int row, int column) {
+		this.chromosome = chromosome;
 		this.column = column;
 		this.row = row;
 	}
@@ -23,11 +25,13 @@ public class Node implements MutableElement, Connection {
 	
 	public void setFunction(Function newFunction) {
 		function = newFunction;
+		chromosome.recomputeActiveNodes();
 	}
 	
 	@Override
 	public void setConnection(Connection newConnection) {
 		connections[Utilities.getRandomInt(connections.length)] = newConnection;
+		chromosome.recomputeActiveNodes();
 	}
 	
 	public void initialise(Function newFunction, Connection ... newConnections) throws InsufficientConnectionsException {
@@ -41,14 +45,20 @@ public class Node implements MutableElement, Connection {
 		}
 	}
 
-	@Override
 	public int getColumn() {
 		
 		return column;
 	}
 
-	@Override
 	public int getRow() {
 		return row;
 	}
+
+	public Function getFunction() {
+		return function;
+	}
+
+	public Connection getConnections(int index) {
+		return connections[index];
+	}
 }
diff --git a/src/jcgp/population/Output.java b/src/jcgp/population/Output.java
index ce4f776..68045b0 100644
--- a/src/jcgp/population/Output.java
+++ b/src/jcgp/population/Output.java
@@ -1,15 +1,15 @@
 package jcgp.population;
 
-import jcgp.Parameters;
-
 
 public class Output implements MutableElement {
 	
 	private Connection source;
-	private int row;
+	private Chromosome chromosome;
+	private int index;
 	
-	public Output(int row) {
-		this.row = row;
+	public Output(Chromosome chromosome, int index) {
+		this.chromosome = chromosome;
+		this.index = index;
 	}
 
 	public int calculate() {
@@ -19,17 +19,17 @@ public class Output implements MutableElement {
 	@Override
 	public void setConnection(Connection newConnection) {
 		source = newConnection;
-		
+		chromosome.recomputeActiveNodes();
 	}
 
-	@Override
-	public int getColumn() {
-		return Parameters.getColumns();
+	public int getIndex() {
+		return index;
 	}
 
-	@Override
-	public int getRow() {
-		return row;
+	public Connection getSource() {
+		return source;
 	}
+	
+	
 
 }
diff --git a/src/jcgp/population/Population.java b/src/jcgp/population/Population.java
index b56d992..fb968fb 100644
--- a/src/jcgp/population/Population.java
+++ b/src/jcgp/population/Population.java
@@ -11,10 +11,7 @@ public class Population implements Iterable<Chromosome> {
 	public Population() {
 		population = new Chromosome[Parameters.getPopulationSize()];
 		for (int c = 0; c < population.length; c++) {
-			population[c] = new Chromosome(Parameters.getInputs(),
-										   Parameters.getRows(),
-										   Parameters.getColumns(),
-										   Parameters.getOutputs());
+			population[c] = new Chromosome();
 		}
 	}
 	
diff --git a/src/jcgp/tests/ChromosomeTests.java b/src/jcgp/tests/ChromosomeTests.java
index 50d17b9..ece8203 100644
--- a/src/jcgp/tests/ChromosomeTests.java
+++ b/src/jcgp/tests/ChromosomeTests.java
@@ -1,15 +1,17 @@
 package jcgp.tests;
 
-import static org.junit.Assert.assertTrue;
+import static org.junit.Assert.*;
 
 import java.util.Random;
 
 import jcgp.Parameters;
 import jcgp.Utilities;
+import jcgp.fitness.ParameterMismatchException;
 import jcgp.function.Addition;
 import jcgp.function.FunctionSet;
 import jcgp.function.Subtraction;
 import jcgp.population.Chromosome;
+import jcgp.population.Connection;
 import jcgp.population.Input;
 import jcgp.population.MutableElement;
 import jcgp.population.Node;
@@ -24,24 +26,24 @@ import org.junit.Test;
  * 
  *  - The chromosome should be able to return a specified node, input or output.
  *  - It should be able to return a random MutableElement.
- *  - It should be able to return a random Connection 
+ *  - It should be able to return a random allowed connection given a column
+ *  - It should be able to return any random connection
  *  - It should contain a freely modifiable fitness value.
- *  - It should be a good citizen - fully initialised upon instantiation.
+ *  - For truth table evaluations, it should be able to have its inputs set.
+ *  - For truth table evaluations, the output should return a value according to what
+ *    it is set to.
  *  - It should feature a clone constructor, which creates a deep copy of a 
  *    specified Chromosome object.
- *  - It should be able to return the number of active nodes.
- *  - For truth table evaluations, it should be able to have its inputs set.
+ *  - It should be able to return a list of active nodes.
+ *  
+ *  WARNING: changing parameters may cause the tests to incorrectly fail!
  * 
  * @author Eduardo Pedroni
  *
  */
 public class ChromosomeTests {
 
-	Chromosome chromosome;
-	int inputCount = 3, 
-			rows = 3, 
-			columns = 3, 
-			outputCount = 3;
+	private Chromosome chromosome;
 
 	@Before
 	public void setUp() throws Exception {
@@ -52,54 +54,180 @@ public class ChromosomeTests {
 		Utilities.setResources(new Random(1234), functionSet);
 
 		// initialise parameters
-		Parameters.setColumns(columns);
-		Parameters.setRows(rows);
-		Parameters.setInputs(inputCount);
-		Parameters.setOutputs(outputCount);
-		Parameters.setLevelsBack(1);
+		Parameters.setColumns(20);
+		Parameters.setRows(10);
+		Parameters.setInputs(2);
+		Parameters.setOutputs(4);
+		Parameters.setLevelsBack(20);
 		Parameters.setMutationRate(10);
 		Parameters.setTotalGenerations(100);
 		Parameters.setTotalRuns(5);
 		Parameters.setMaxArity(functionSet.getMaxArity());
 
-		chromosome = new Chromosome(inputCount, rows, columns, outputCount);
-		
+		chromosome = new Chromosome();
+
 	}
 
+	/**
+	 * 
+	 */
 	@Test
-	public void test() {
-		// pick arbitrary node, assume that if one node is right, all nodes are right
-		boolean nodeReturn = chromosome.getNode(1, 2).getColumn() == 2
-				&& chromosome.getNode(1, 2).getRow() == 1
-				&& chromosome.getNode(1, 2) instanceof Node;
-		assertTrue("Incorrect node returned.", nodeReturn);
-
-		// set input values, check that acquired values are correct
-		chromosome.setInputs(4, 5, 6);
-		boolean inputReturn = chromosome.getInput(0).getValue() ==  4 && chromosome.getInput(0) instanceof Input
-				&& chromosome.getInput(1).getValue() ==  5 && chromosome.getInput(0) instanceof Input
-				&& chromosome.getInput(2).getValue() ==  6 && chromosome.getInput(0) instanceof Input;
-		assertTrue("Incorrect inputs returned.", inputReturn);
-
-		// connect outputs to inputs, check that calculated outputs return input values
-		for (int i = 0; i < outputCount; i++) {
-			chromosome.getOutput(i).setConnection(chromosome.getInput(0));
-		}
-		boolean outputReturn = chromosome.getOutput(0).calculate() ==  4 && chromosome.getOutput(0) instanceof Output
-				&& chromosome.getOutput(1).calculate() ==  4 && chromosome.getOutput(0) instanceof Output
-				&& chromosome.getOutput(2).calculate() ==  4 && chromosome.getOutput(0) instanceof Output;
-		assertTrue("Incorrect output returned.", outputReturn);
-
-		// get a mutable element, check that it is a Mutable
-		boolean mutableReturn = chromosome.getRandomMutableElement() != chromosome.getRandomMutableElement() && chromosome.getRandomMutableElement() instanceof MutableElement;
-		assertTrue("Returned the same element.", mutableReturn);
+	public void cloneTest() {
+		int[] testInputs;
+		// create a clone, check to see if it really is a clone
+		Chromosome clone = new Chromosome(chromosome);
 		
+		// set input values
+		testInputs = new int[Parameters.getInputs()];
+		for (int i = 0; i < Parameters.getInputs(); i++) {
+			testInputs[i] = i * 2 - 3;
+		}
+		chromosome.setInputs(testInputs);
+		clone.setInputs(testInputs);
 		
+		// connect outputs to inputs, check that the outputs match
+		for (int i = 0; i < Parameters.getOutputs(); i++) {
+			chromosome.getOutput(i).setConnection(chromosome.getInput(i % Parameters.getInputs()));
+			clone.getOutput(i).setConnection(clone.getInput(i % Parameters.getInputs()));
+			assertTrue("Incorrect output returned.", chromosome.getOutput(i).calculate() == 
+													 clone.getOutput(i).calculate());
+		}
 		
+		// change clone inputs, outputs should no longer match
+		testInputs = new int[Parameters.getInputs()];
+		for (int i = 0; i < Parameters.getInputs(); i++) {
+			testInputs[i] = i * 2;
+		}
+		clone.setInputs(testInputs);
+		for (int i = 0; i < Parameters.getOutputs(); i++) {
+			assertTrue("Incorrect output returned.", chromosome.getOutput(i).calculate() != 
+													 clone.getOutput(i).calculate());
+		}
+	}
+
+	/**
+	 * 
+	 */
+	@Test
+	public void fitnessTest() {
 		// set a fitness value, check if returned value is the same
 		chromosome.setFitness(10);
 		assertTrue("Incorrect fitness returned.", chromosome.getFitness() == 10);
-		
 	}
 
+	/**
+	 * 
+	 */
+	@Test
+	public void randomConnectionTest() {
+		// get random connections with column 0, check that they are all inputs
+		for (int i = 0; i < 10000; i++) {
+			boolean connectionReturn = chromosome.getRandomConnection(0) instanceof Input;
+			assertTrue("Connection is not an input.", connectionReturn);
+		}
+
+		// get random connections with column 2
+		// they should all be nodes, and their columns should be within range
+		int connectionNodes = 0, connectionOutOfRange = 0, connectionInputs = 0, connectionPicks = 100000;
+		int chosenColumn = 2;
+		for (int i = 0; i < connectionPicks; i++) {
+			Connection c = chromosome.getRandomConnection(chosenColumn);
+			if (c instanceof Node) {
+				connectionNodes++;
+				if (((Node) c).getColumn() >= chosenColumn) {
+					connectionOutOfRange++;
+				}
+				assertTrue("Connection is not allowed : " + ((Node) c).getColumn(), ((Node) c).getColumn() < chosenColumn && ((Node) c).getColumn() < chosenColumn);
+			} else if (c instanceof Input) {
+				connectionInputs++;
+			} else {
+				fail("Return is neither Node nor Input.");
+
+			}	
+		}
+		System.out.println("Out of " + connectionPicks + " connections picked from " + ((chosenColumn >= Parameters.getLevelsBack()) ? Parameters.getLevelsBack() : chosenColumn) * Parameters.getRows() +
+				" nodes and " + Parameters.getInputs() + " allowed nodes, " + connectionNodes + " were nodes and " + connectionInputs + " were inputs.");
+
+		System.out.println("Node/input ratio: " + ((double) ((chosenColumn >= Parameters.getLevelsBack()) ? Parameters.getLevelsBack() : chosenColumn) * Parameters.getRows()) / (double) Parameters.getInputs() +
+				", picked ratio: " + (double) connectionNodes / (double) connectionInputs);
+
+		System.out.println(connectionOutOfRange + " nodes that disrespected levels back were picked.");
+	}
+
+	/**
+	 * 
+	 */
+	@Test
+	public void randomMutableTest() {
+		// get mutable elements, check Node to Output ratio
+		int mutablePicks = 100000;
+		int mutableNodes = 0, mutableOutputs = 0;
+		for (int i = 0; i < mutablePicks; i++) {
+			MutableElement m = chromosome.getRandomMutableElement();
+
+			if (m instanceof Node) {
+				mutableNodes++;
+			} else if (m instanceof Output) {
+				mutableOutputs++;
+			} else {
+				fail("Return is neither Node nor Output.");
+			}
+		}
+		System.out.println("Out of " + mutablePicks + " mutable elements picked from " + Parameters.getNodeCount() +
+				" nodes and " + Parameters.getOutputs() + " outputs, " + mutableNodes + " were nodes and " +
+				mutableOutputs + " were outputs.");
+		System.out.println("Node/output ratio: " + (double) Parameters.getNodeCount() / (double) Parameters.getOutputs() +
+				", picked ratio: " + (double) mutableNodes / (double) mutableOutputs + "\n");
+	}
+
+	/**
+	 * 
+	 */
+	@Test
+	public void getOutputsTest() {
+		// connect outputs to inputs, check that calculated outputs return input values
+		for (int i = 0; i < Parameters.getOutputs(); i++) {
+			chromosome.getOutput(i).setConnection(chromosome.getInput(i % Parameters.getInputs()));
+			assertTrue("Incorrect output returned.", chromosome.getOutput(i).calculate() == 
+					chromosome.getInput(i % Parameters.getInputs()).getValue());
+		}
+	}
+
+	/**
+	 * @throws ParameterMismatchException
+	 */
+	@Test
+	public void setInputTest() throws ParameterMismatchException {
+		// set input values, check that acquired values are correct
+		int[] testInputs = new int[Parameters.getInputs()];
+		for (int i = 0; i < Parameters.getInputs(); i++) {
+			testInputs[i] = i * 2 - 3;
+		}
+		chromosome.setInputs(testInputs);
+		for (int i = 0; i < Parameters.getInputs(); i++) {
+			assertTrue("Incorrect input returned.", chromosome.getInput(i).getValue() == i * 2 - 3);
+		}
+	}
+
+	/**
+	 * 
+	 */
+	@Test
+	public void getNodeTest() {
+		// get all nodes one by one, check that they are all correct
+		for (int r = 0; r < Parameters.getRows(); r++) {
+			for (int c = 0; c < Parameters.getColumns(); c++) {
+				assertTrue("Incorrect node returned.", chromosome.getNode(r, c).getColumn() == c &&
+						chromosome.getNode(r, c).getRow() == r);
+			}
+		}
+	}
+	
+	/**
+	 * 
+	 */
+	@Test
+	public void activeNodeTest() {
+		
+	}
 }