deluxeplotgraph0.bak

Differential Evolution(JAVA)

package DeApp1.plot;

import java.awt.*;         // Import all classes from the java.awt package
                           // AWT is the Abstract Window Toolkit. The AWT
import java.io.*;
import DeApp1.screen.*;           // Import screens
import DeApp1.de.*;
import DeApp1.ptplot.*;



//public class DeLuxePlotGraph0 extends Canvas
public class DeLuxePlotGraph0 extends Plot
/***********************************************************
**                                                        **
**                                                        **
** Authors:            Rainer Storn                       **
**                                                        **
** Date:               1/23/99                            **
**                                                        **
** Use PlotGraph2 to adjust the graphics.                 **
***********************************************************/
{

	protected DEScreen deScreen;

    double best[];
	double best_old[];
	protected int initFlag = 1;

	int plotting_samples  = 60;  // (or 60) make this problem dependent!
	int tolerance_samples = 300;

	protected double min_x = -2;        // Relative coordinates
	protected double max_x = +2;
	protected double min_y = -1;
	protected double max_y = +10;



  public DeLuxePlotGraph0(DEScreen father, int width, int height)
  /***********************************************************
  ** Set size of the plot and define the axes.              **
  ***********************************************************/
  {
	deScreen = father;
	//int dim  = deScreen.getDimension();
	//best_old = deScreen.getBest();
	best_old = new double [100];

    //minSize  = new Dimension(width-margin,height-margin);  //set minimum size
	this.setXRange(min_x,max_x);
	this.setYRange(min_y,max_y);
	this.setGrid(false);
	this.setNumSets(4);
	this.setPointsPersistence(plotting_samples);
	show();
  }

  public double polynomial (double temp[], double x, int dim)
  /***********************************************************
  ** Evaluate the current polynomial.                       **
  ***********************************************************/
  {
    double y   = temp[0];
    for (int j = 1;  j < dim;  j++)
	{
	  y = x * y + temp[j];
	}

    return y;  
  }


  public void paint (Graphics g)
  /*******************************************************
  ** Whenever the component is exposed anew, this method *
  ** is called.                                         **
  *******************************************************/
  {
	if (initFlag == 1)
	{
	  init();	// initializing with every paint() call 
	        // allows for resizing of the plot screen
	  initFlag = 0;
	}
  }

  public void refreshImage()
  /***********************************************************
  ** Update function which recomputes the variable screen   **
  ** image.                                                 **
  ***********************************************************/
  {
	int dim  = deScreen.getDimension();
	best     = deScreen.getBest();
    double coefficient;
	double x2;
	boolean first_old = true;
	boolean first     = true;
	int i;

    //----Colors--------------
	    //0: white
        //1: red
        //2: blue
        //3: green-ish
        //4: black
        //5: orange
        //6: cadetblue4
        //7: coral
        //8: dark green-ish
        //9: sienna-ish
        //10: grey-ish
        //11: cyan-ish

    
	coefficient = (max_x - min_x) / ((double) plotting_samples);

	//-----first erase old graph--------------------------
   /* for (i = 0;  i <= plotting_samples;  i++)
    {
      x2 = min_x + ((double)i) * coefficient;
	  this.addPoint(0,x2,polynomial (best_old, x2, dim),!first_old);
	  first_old = false;
    } */

	//-----now plot new graph-----------------------------
    for (i = 0;  i <= plotting_samples;  i++)
    {
      x2 = min_x + ((double)i) * coefficient;
	  this.addPoint(4,x2,polynomial (best, x2, dim),!first);
	  first = false;
    }	
	paint(_graphics);

	//---save parameters which were used for last plot----
	for (i=0; i<dim; i++) best_old[i] = best[i];
  }



}