Hands-On Neuroevolution with Python

The evaluate_obj_functions function implementation

This function accepts the ObjectiveFun object, which holds the population of the objective function candidates, and uses it to estimate the fitness score of each individual in the population by following these steps:

1. First, we iterate over all genomes in the population and collect the novelty points for each genome:

    obj_func_genomes = NEAT.GetGenomeList(obj_function.population)    for genome in obj_func_genomes:        n_item = evaluate_individ_obj_function(genome=genome,                                             generation=generation)        n_items_list.append(n_item)        obj_func_coeffs.append(n_item.data)

In the code, the novelty points obtained from the evaluate_individ_obj_function function are appended to the list of novelty points in the ...