internal virtual NewSchedule mutateSchedule(NewSchedule mutateSchedule)
{
NewSchedule schedule = (new NewSchedule(data)).initialize();
Enumerable.Range(0, mutateSchedule.Classes.Count).ToList().ForEach(x =>
{
if (Driver.MUTATION_RATE > GlobalRandom.NextDouble)
{
mutateSchedule.Classes[x] = schedule.Classes[x];
}
});
return(mutateSchedule);
}
internal virtual NewSchedule crossoverSchedule(NewSchedule schedule1, NewSchedule schedule2)
{
NewSchedule crossoverSchedule = (new NewSchedule(data)).initialize();
Enumerable.Range(0, crossoverSchedule.Classes.Count).ToList().ForEach(x =>
{
if (GlobalRandom.NextDouble > 0.5)
{
crossoverSchedule.Classes[x] = schedule1.Classes[x];
}
else
{
crossoverSchedule.Classes[x] = schedule2.Classes[x];
}
});
return(crossoverSchedule);
}
internal virtual Population crossoverPopulation(Population population)
{
Population crossoverPopulation = new Population(population.Schedules.Count, data);
Enumerable.Range(0, Driver.NUMB_OF_ELITE_SCHEDULES).ToList().ForEach(x => crossoverPopulation.Schedules[x] = population.Schedules[x]);
Enumerable.Range(Driver.NUMB_OF_ELITE_SCHEDULES, population.Schedules.Count - 1).ToList().ForEach(x =>
{
if (Driver.CROSSOVER_RATE > GlobalRandom.NextDouble)
{
NewSchedule schedule1 = selectTournamentPopulation(population).sortByFitness().Schedules[0];
NewSchedule schedule2 = selectTournamentPopulation(population).sortByFitness().Schedules[0];
crossoverPopulation.Schedules[x] = crossoverSchedule(schedule1, schedule2);
}
else
{
crossoverPopulation.Schedules[x] = population.Schedules[x];
}
});
return(crossoverPopulation);
}
