public void evolve(int nGens, int cursor) {
int i = 0;
while (i < nGens) {
// System.out.println("GENERATION : " + i);
evaluate();
stat.addStat(this.pop, i);
Arrays.sort(this.pop);
if (i < nGens - 1) {
breed(i);
updatePop();
} else {
// for (int j = 0; j < this.pop.length; j++) {
// System.out.println(this.pop[j].fitness);
// }
}
i++;
}
// stat.logStatisticalSummary(nGens - 1);
validate(cursor);
}
/**
* Verifies that a StatisticalSummary and a StatisticalSummaryValues are equal up to delta, with
* NaNs, infinities returned in the same spots. For max, min, n, values have to agree exactly,
* delta is used only for sum, mean, variance, std dev.
*/
protected static void assertEquals(
StatisticalSummary expected, StatisticalSummary observed, double delta) {
TestUtils.assertEquals(expected.getMax(), observed.getMax(), 0);
TestUtils.assertEquals(expected.getMin(), observed.getMin(), 0);
Assert.assertEquals(expected.getN(), observed.getN());
TestUtils.assertEquals(expected.getSum(), observed.getSum(), delta);
TestUtils.assertEquals(expected.getMean(), observed.getMean(), delta);
TestUtils.assertEquals(expected.getStandardDeviation(), observed.getStandardDeviation(), delta);
TestUtils.assertEquals(expected.getVariance(), observed.getVariance(), delta);
}
