zzj07_f6.java

关于多目标优化的代码

/**
 * ZZJ07_F6.java
*
* @author Antonio J. Nebro
* @author Juan J. Durillo
* @version 1.0
*/

package jmetal.problems.ZZJ07;

import jmetal.base.*;
import jmetal.base.Configuration.*;
import jmetal.util.JMException;

/** 
* Class representing problem ZZJ07_F6
*/
public class ZZJ07_F6 extends Problem {
  
 /** 
  * Constructor
  * Creates a default instance of the ZZJ07_F6 problem
  * @param solutionType The solution type must "Real" or "BinaryReal".
  */
 public ZZJ07_F6(String solutionType) {
   this(30, solutionType); // 30 variables by default
 }
 /** 
  * Constructor
  * Creates a default instance of the ZZJ07_F1 problem
  * @param numberOfVariables Number of variables.
  * @param solutionType The solution type must "Real" or "BinaryReal".
  */
 public ZZJ07_F6(Integer numberOfVariables, String solutionType) {
   numberOfVariables_   = numberOfVariables.intValue() ;
   numberOfObjectives_  = 2;
   numberOfConstraints_ = 0;
   problemName_         = "ZZJ07_F6";
       
   upperLimit_ = new double[numberOfVariables_];
   lowerLimit_ = new double[numberOfVariables_];
   for (int var = 0; var < numberOfVariables_; var++){
     lowerLimit_[var] = 0.0;
     upperLimit_[var] = 1.0;
   } // for
       
   solutionType_ = Enum.valueOf(SolutionType_.class, solutionType) ; 
   
   // All the variables are of the same type, so the solutionType name is the
   // same than the variableType name
   variableType_ = new VariableType_[numberOfVariables_];
   for (int var = 0; var < numberOfVariables_; var++){
     variableType_[var] = Enum.valueOf(VariableType_.class, solutionType) ;    
   } // for
 } //ZZJ07_F6
   
 /** 
 * Evaluates a solution 
 * @param solution The solution to evaluate
  * @throws JMException 
 */        
 public void evaluate(Solution solution) throws JMException {
   DecisionVariables decisionVariables  = solution.getDecisionVariables();
   
   double [] x  = new double[numberOfVariables_] ; 
   double [] fx = new double[numberOfVariables_] ; 
   double g   ;
   double h   ;
   double sum ;
   for (int i = 0; i < numberOfVariables_; i++)
     x[i] = decisionVariables.variables_[i].getValue() ;
   
   fx[0] = Math.sqrt(x[0]) ;

   sum = 0.0 ;
   for (int i = 1; i < numberOfVariables_; i++)
     sum += (x[i]*x[i]-x[0])*(x[i]*x[i]-x[0]);
     
   g = 1.0 + 9.0*sum/(numberOfVariables_-1.0);
   h = 1.0 - x[0]/(g*g);
  
   fx[1] = g * h ;
   
   solution.setObjective(0,fx[0]);
   solution.setObjective(1,fx[1]);
 } // evaluate
} // ZZJ07_F6