/**
* An evaluator that performs coevolutionary evaluation. Like SimpleEvaluator, it applies
* evolution pipelines, one per thread, to various subchunks of a new population.
*/
public void evaluatePopulation(final EvolutionState state) {
int numinds[] = new int[state.evalthreads];
int from[] = new int[state.evalthreads];
boolean[] assessFitness = new boolean[state.population.subpops.length];
for (int i = 0; i < assessFitness.length; i++)
assessFitness[i] = true; // update everyone's fitness in preprocess and postprocess
for (int y = 0; y < state.evalthreads; y++) {
// figure numinds
if (y < state.evalthreads - 1) // not last one
numinds[y] = state.population.subpops[0].individuals.length / state.evalthreads;
else
numinds[y] =
state.population.subpops[0].individuals.length / state.evalthreads
+ (state.population.subpops[0].individuals.length
- (state.population.subpops[0].individuals.length / state.evalthreads)
* state.evalthreads);
// figure from
from[y] = (state.population.subpops[0].individuals.length / state.evalthreads) * y;
}
randomizeOrder(state, state.population.subpops[0].individuals);
GroupedProblemForm prob = (GroupedProblemForm) (p_problem.clone());
prob.preprocessPopulation(
state, state.population, assessFitness, style == STYLE_SINGLE_ELIMINATION);
switch (style) {
case STYLE_SINGLE_ELIMINATION:
evalSingleElimination(state, state.population.subpops[0].individuals, 0, prob);
break;
case STYLE_ROUND_ROBIN:
evalRoundRobin(state, from, numinds, state.population.subpops[0].individuals, 0, prob);
break;
case STYLE_N_RANDOM_COMPETITORS_ONEWAY:
evalNRandomOneWay(state, from, numinds, state.population.subpops[0].individuals, 0, prob);
break;
case STYLE_N_RANDOM_COMPETITORS_TWOWAY:
evalNRandomTwoWay(state, from, numinds, state.population.subpops[0].individuals, 0, prob);
break;
default:
state.output.fatal(
"Invalid competition style in CompetitiveEvaluator.evaluatePopulation()");
}
prob.postprocessPopulation(
state, state.population, assessFitness, style == STYLE_SINGLE_ELIMINATION);
}
