abstractcurvefitting.java

基于差分进化与粒子群混合算法优化源程序,这是一个java语言编制的源程序,很实用.

/**
 * Description: Curve fitting function
 *
 * @ Author        Create/Modi     Note
 * Xiaofeng Xie    Jun 26, 2008
 *
 * @version 1.0
 * @Since MAOS1.0
 *
 */

package problem.custom;

import problem.*;
import Global.*;

public abstract class AbstractCurveFitting extends UnconstrainedProblemEncoder {
  protected double[] oneDparamPoints;
  protected double[] responseValues;
  protected String fileStr = "D:\\temp\\fitpotential\\fitpotential.200\\cosangl.200\\cosadf.PHGLE2.avg.dat";

  public AbstractCurveFitting(int NX) throws Exception {
    super(NX);
  }

  abstract protected double getFuncValue(double x, double[] VX);

  private double getDifference(int row, double[] VX) {
    return (responseValues[row]-getFuncValue(oneDparamPoints[row], VX));
  }

  protected double getDifferenceSquareSum(double[] VX) {
    double value = 0;
    double tempDiff = 0;
    for(int i=0; i<responseValues.length; i++) {
      tempDiff = getDifference(i, VX);
      value += tempDiff*tempDiff;
    }
    value /= responseValues.length;
    value = Math.sqrt(value);
    return value;
  }

  public double calcTarget(double[] VX) {
    return getDifferenceSquareSum(VX);
  }

  public String getYValues(double[] VX) {
    String yValuesStr ="";
    for(int i=0; i<responseValues.length; i++) {
      yValuesStr+=getFuncValue(oneDparamPoints[i], VX)+"\n";
    }
    return yValuesStr;
  }
  public void outputResponseString(double[] VX) {
    System.out.println(getYValues(VX));
  }


  public void initEncoder() throws Exception {
    super.initEncoder();
    readDataContent(GlobalFile.getStringFromFile(fileStr));
  }

  public boolean setParameter(String name, String value) {
    if (super.setParameter(name, value)) return true;
    else if (name.equalsIgnoreCase("fileStr")) fileStr=value;
    else return false;
    return true;
  }

  private void readDataContent(String dataContent) throws Exception {
    String[] contents = GlobalString.getMeaningfulLines(dataContent);
    oneDparamPoints = new double[contents.length];
    responseValues = new double[contents.length];
    for (int i=0; i<contents.length; i++) {
      String[] lineContents = GlobalString.tokenize(contents[i], " \t");
      oneDparamPoints[i] = new Double(lineContents[0]).doubleValue();
      responseValues[i] = new Double(lineContents[1]).doubleValue();
    }
  }
}