public IEnumerable <Strategy> GetOutbreed(List <Strategy> strategies)
{
var outbreedCount = (int)(strategies.Count * geneticConfig.OutbreedRatio * geneticConfig.CrossoverProb);
var random = new Random(Guid.NewGuid().GetHashCode());
for (var i = 0; i < outbreedCount; i++)
{
var strategy1 = strategies[random.Next(strategies.Count)];
var strategy2 = strategy1.FindMostUnlikely(strategies);
yield return(StrategyCrossoverMethods.Crossover(strategy1, strategy2, geneticConfig.MaxStrategySize));
}
}
public void CrossoverSpecies_should_return_valid_strategy()
{
var algo1 = new Strategy(Enumerable.
Range(0, config.MaxStrategySize)
.Select(i => "Forward").ToList());
var algo2 = new Strategy(Enumerable.
Range(0, config.MaxStrategySize)
.Select(i => "Shoot").ToList());
var result = StrategyCrossoverMethods.Crossover(algo1, algo2, config.MaxStrategySize);
Assert.IsTrue(StrategiesGenerator.CheckProgram(result.commands));
}
public IEnumerable <Strategy> GetPanmixia(List <Strategy> strategies)
{
var panmixiaCount = (int)(strategies.Count * geneticConfig.PanmixiaRatio * geneticConfig.CrossoverProb);
var random = new Random(Guid.NewGuid().GetHashCode());
for (var i = 0; i < panmixiaCount; i++)
{
var strategy1 = strategies[random.Next(strategies.Count)];
var strategy2 = strategies[random.Next(strategies.Count)];
yield return(StrategyCrossoverMethods.Crossover(strategy1, strategy2, geneticConfig.MaxStrategySize));
}
}
public void CrossoverSpecies_should_not_overtop_maxAlgorithms_size()
{
var algo1 = new Strategy(Enumerable.
Range(0, config.MaxStrategySize)
.Select(i => "Forward").ToList());
var algo2 = new Strategy(Enumerable.
Range(0, config.MaxStrategySize)
.Select(i => "Shoot").ToList());
var result = StrategyCrossoverMethods.Crossover(algo1, algo2, config.MaxStrategySize);
Assert.IsTrue(result.commands.Count < config.MaxStrategySize);
}
