public GeneticAlgorithm(IGeneticFunctions <T> funcs, GeneticSettings settings, IEnumerable <T> population)
{
this.functions = funcs;
this.settings = settings;
var tempCount = population.Count();
var collection = new List <T>(this.settings.PopulationCount);
if (tempCount < settings.PopulationCount)
{
collection.AddRange(population);
collection.AddRange(Enumerable.Range(0, this.settings.PopulationCount - tempCount).Select(x => funcs.Random()));
}
this.currentPopulation = (from person in collection
select new Individual(person, this.functions.Fitness(person))).ToList();
this.currentPopulation = (from person in this.currentPopulation
orderby person.Fitness descending
select person).ToList();
}
public GeneticAlgorithm(IGeneticFunctions <T> funcs, GeneticSettings settings)
: this(funcs, settings, from item in Enumerable.Range(0, settings.PopulationCount) select funcs.Random())
{
}
