public void init(ObjectiveFunction function) {
this.function = function;
dimension = function.getDimension();
min = Math.max(min, function.getMinimum()[0]);
max = Math.min(max, function.getMaximum()[0]);
xNew = new double[dimension];
xDelta = new double[dimension];
y = new double[dimension];
H = new double[dimension][dimension];
Hy = new double[dimension];
xH = new double[dimension];
direction = new double[dimension];
switch (lineSearch) {
case BRENT_WITHOUT:
this.lineSearchMethod = new LineSearchBrentNoDerivatives(function);
break;
case BRENT_WITH:
this.lineSearchMethod = new LineSearchBrentWithDerivatives(function);
break;
default:
throw new IllegalStateException("Unknown line search method");
}
x = Point.random(dimension, min, max).toArray();
solution = ValuePoint.at(Point.at(x), function);
this.stopCondition.setInitialValue(solution.getValue());
g = function.gradientAt(Point.at(x)).toArray();
for (int i = 0; i < dimension; i++) {
direction[i] = -g[i];
H[i][i] = 1.0;
y[i] = -1;
}
}
public void init(ObjectiveFunction function) {
generator = new Random();
this.function = function;
dimension = function.getDimension();
min = Math.max(min, function.getMinimum()[0]);
max = Math.min(max, function.getMaximum()[0]);
means = new double[dimension];
deviations = new double[dimension];
paths = new ValuePoint[populationSize];
best = ValuePoint.at(Point.getDefault(), Double.POSITIVE_INFINITY);
stopCondition.setInitialValue(Double.POSITIVE_INFINITY);
for (int i = 0; i < dimension; i++) {
means[i] = (generator.nextDouble() * (max - min)) + min;
deviations[i] = (max - min) / 2;
}
}
