Generation.java

package simulator;

import java.util.ArrayList;
import java.util.Random;
import org.jfree.ui.RefineryUtilities;

//Defines all methods and members for implementing Genetic Algorithm
public abstract class Generation {

	protected ArrayList<Exp> constraints = new ArrayList<Exp>();// list of
																// expressions
																// containing
																// constraints
	protected int populationSize = 200;// population size default 100
	protected double variationRate = 10; // variation or mutation rate default
											// 0%
	protected Point[] population = new Point[populationSize];
	protected Boolean populationInitFlag = false;
	protected XYLineChart_AWT chart;
	protected Point[] matingPool;
	protected Exp objectiveFun;
	protected int windowX, windowY;
	Point solution = null;

	// display present generation on graph
	public void displayGraph(String title, String genName, String xAxesName, String yAxesName, int windowX,
			int windowY) {
		chart = new XYLineChart_AWT(title, genName, xAxesName, yAxesName, constraints, windowX, windowY);
		chart.pack();
		RefineryUtilities.centerFrameOnScreen(chart);
		chart.setVisible(true);
		chart.dispConstraints();
		chart.initPopulation(population, populationInitFlag);
		this.windowX = windowX;
		this.windowY = windowY;

	}

	public void dispSolutionOnGraph() {
		chart.dispSoln(solution);
	}

	public void updateGraph(String title) {
		chart.setTitle(title);
		chart.initPopulation(population, populationInitFlag);
	}

	public void dispMatingPool() {
		chart.initPopulation(population, populationInitFlag);
	}

	// calculate fitness for all individual or Points in the population
	protected abstract void calFitness();

	// generating mating pool for population
	protected abstract void genMatingPool();

	// breed Points in mating pool to generate new population
	protected abstract void breed();

	// initialize population
	protected abstract void initPopulation(Point[] p);

	// generate offspring from 2 parent Points.
	protected abstract Point[] genOffspring(Point p1);

	// generate population with random genotype
	public Point[] genRandomPopulation() {
		Point[] randomPopulation = new Point[populationSize];
		Random rand = new Random();
		for (int i = 0; i < populationSize; i++) {
			Point p = new Point(rand.nextDouble() * windowX, rand.nextDouble() * windowY);
			randomPopulation[i] = p;
			// randomPopulation[i].setY(rand.nextDouble() * 15);
			// xydataset.getSeries(PopulationSeriesIndex).add(x,y);
			// System.out.println("indivisual added:"+x+","+y);
		}

		return randomPopulation;
	}
}