Neural Network Organism Selection

connga_ecosystem_1.py

class Ecosystem():
    # [Some code removed here]
    
    def generation(self, repeats=1, keep_best=True):
        rewards = rewards = [np.mean([self.scoring_function(x) for _ in range(repeats)]) for x in self.population]
        self.population = [self.population[x] for x in np.argsort(rewards)[::-1]]
        new_population = []
        for i in range(self.population_size):
            parent_1_idx = i % self.holdout
            if self.mating:
                parent_2_idx = min(self.population_size - 1, int(np.random.exponential(self.holdout)))
            else:
                parent_2_idx = parent_1_idx
            offspring = self.population[parent_1_idx].mate(self.population[parent_2_idx])
            new_population.append(offspring)
        if keep_best:
            new_population[-1] = self.population[0] # Ensure best organism survives
        self.population = new_population