public static Individual mutateIndividual(Individual individualtoMutate) {
// small change delta
double delta = 0.001;
Double[] individualtoMutateArray = individualtoMutate.getValues();
// initialize the neighbor solution
Double[] mutatedIndividual = new Double[Constants.DIMENSIONS];
Arrays.fill(mutatedIndividual, 0.0);
Individual mutatedIndv = new Individual();
// loop and change values of neighbor
// solution based on problem set
for (int i = 0; i < individualtoMutateArray.length; i++) {
if (individualtoMutateArray[i] < 1.00 && checkLimitCondition(individualtoMutateArray[i])) {
mutatedIndividual[i] =
DoubleFormatter.getFormattedDouble(individualtoMutateArray[i] + delta, FUNCTION_NAME);
} else if (individualtoMutateArray[i] > 1.00
&& checkLimitCondition(individualtoMutateArray[i])) {
mutatedIndividual[i] =
DoubleFormatter.getFormattedDouble(individualtoMutateArray[i] - delta, FUNCTION_NAME);
} else {
mutatedIndividual[i] =
DoubleFormatter.getFormattedDouble(individualtoMutateArray[i], FUNCTION_NAME);
}
}
mutatedIndv.setValues(mutatedIndividual);
mutatedIndv.setFitnessValue(getfitnessValueNP(mutatedIndividual));
// return changed neighbor array
return mutatedIndv;
}
public static Double getfitnessValueNP(Double[] individual) {
Double tempVar = 0.0;
for (int i = 0; i < (individual.length - 1); i++) {
tempVar +=
(Math.pow((1 - individual[i]), 2)
+ 100 * Math.pow((individual[i + 1] - Math.pow(individual[i], 2)), 2));
}
return DoubleFormatter.getFormattedDouble(tempVar, FUNCTION_NAME);
}
public static double getfitnessValue(double[] varArray) {
double tempVar = 0.0;
for (int i = 0; i < (varArray.length - 1); i++) {
tempVar +=
(Math.pow((1 - varArray[i]), 2)
+ 100 * Math.pow((varArray[i + 1] - Math.pow(varArray[i], 2)), 2));
}
return DoubleFormatter.getFormattedDouble(tempVar, FUNCTION_NAME);
}
