📄 cec2009_uf9.java
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/** * CEC2009_UF9.java * * @author Antonio J. Nebro * @version 1.0 */package jmetal.problems.cec2009Competition;import jmetal.base.*;import jmetal.base.Configuration.SolutionType_;import jmetal.base.Configuration.VariableType_;import jmetal.util.JMException;/** * Class representing problem CEC2009_UF9 */public class CEC2009_UF9 extends Problem { double epsilon_ ; /** * Constructor. * Creates a default instance of problem CEC2009_UF9 (30 decision variables) * @param solutionType The solution type must "Real" or "BinaryReal". */ public CEC2009_UF9(String solutionType) { this(30, 0.1, solutionType); // 30 variables by default, epsilon = 0.1 } // CEC2009_UF9 /** * Creates a new instance of problem CEC2009_UF9. * @param numberOfVariables Number of variables. * @param solutionType The solution type must "Real" or "BinaryReal". */ public CEC2009_UF9(Integer numberOfVariables, double epsilon, String solutionType) { numberOfVariables_ = numberOfVariables.intValue(); numberOfObjectives_ = 3; numberOfConstraints_= 0; problemName_ = "CEC2009_UF9"; epsilon_ = epsilon ; upperLimit_ = new double[numberOfVariables_]; lowerLimit_ = new double[numberOfVariables_]; // Establishes upper and lower limits for the variables 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 } // CEC2009_UF9 /** * 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_] ; for (int i = 0; i < numberOfVariables_; i++) x[i] = decisionVariables.variables_[i].getValue() ; int count1, count2, count3; double sum1, sum2, sum3, yj; sum1 = sum2 = sum3 = 0.0; count1 = count2 = count3 = 0; for (int j = 3 ; j <= numberOfVariables_; j++) { yj = x[j-1] - 2.0*x[1]*Math.sin(2.0*Math.PI*x[0]+j*Math.PI/numberOfVariables_); if(j % 3 == 1) { sum1 += yj*yj; count1++; } else if(j % 3 == 2) { sum2 += yj*yj; count2++; } else { sum3 += yj*yj; count3++; } } yj = (1.0+epsilon_)*(1.0-4.0*(2.0*x[0]-1.0)*(2.0*x[0]-1.0)); if (yj < 0.0) yj = 0.0; solution.setObjective(0, 0.5*(yj + 2*x[0])*x[1] + 2.0*sum1 / (double)count1); solution.setObjective(1, 0.5*(yj - 2*x[0] + 2.0)*x[1] + 2.0*sum2 / (double)count2); solution.setObjective(2, 1.0 - x[1] + 2.0*sum3 / (double)count3) ; } // evaluate} // CEC2009_UF9
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