public MapElitesAlgorithm(MapElitesParams config)
{
_individualsDispatched = 0;
_individualsEvaluated = 0;
_params = config;
InitMap();
}
public MapElitesAlgorithm(MapElitesParams searchParams, int numParams)
{
_numParams = numParams;
_params = searchParams;
_individualsEvaluated = 0;
_individualsDispatched = 0;
initMap();
}
public MapElitesLineAlgorithm(MapElitesParams searchParams, int numParams)
{
_numParams = numParams;
_params = searchParams;
_individualsEvaluated = 0;
_individualsDispatched = 0;
_maxFitness = Double.MinValue;
initMap();
}
static void run_me_tuning(int id, double sigma)
{
int numParams = 20;
var searchParams = new MapElitesSearchParams();
searchParams.InitialPopulation = 100;
searchParams.NumToEvaluate = 50000;
searchParams.MutationPower = sigma;
var feature1 = new FeatureParams();
feature1.Name = "Sum1";
feature1.MinValue = -(numParams * boundaryValue) / 2.0;
feature1.MaxValue = (numParams * boundaryValue) / 2.0;
var feature2 = new FeatureParams();
feature2.Name = "Sum2";
feature2.MinValue = -(numParams * boundaryValue) / 2.0;
feature2.MaxValue = (numParams * boundaryValue) / 2.0;
var mapParams = new MapParams();
mapParams.Type = "FixedFeature";
mapParams.StartSize = 100;
mapParams.EndSize = 100;
mapParams.Features = new FeatureParams[] { feature1, feature2 };
var meParams = new MapElitesParams();
meParams.Search = searchParams;
meParams.Map = mapParams;
double maxValue = Double.MinValue;
SearchAlgorithm search = new MapElitesAlgorithm(0, meParams, numParams);
while (search.IsRunning())
{
Individual cur = search.GenerateIndividual();
cur.Fitness = evaluate(0, cur.ParamVector);
maxValue = Math.Max(cur.Fitness, maxValue);
search.ReturnEvaluatedIndividual(cur);
}
}