Hands-On Neuroevolution with Python

NS implementation basics

NS implementation should include data structure to hold information about the explored novel item and the structure to maintain and manage a list of novel items. In our implementation, this functionality is encapsulated in three Python classes:

• NoveltyItem: The structure that holds all relevant information about the novelty score of the individual that was evaluated during the evolution.
• NoveltyArchive: The class that maintains a list of the relevant NoveltyItem instances. It provides methods to evaluate the novelty scores of individual genomes compared to the already collected NoveltyItem instances and the current population.
• ItemsDistance: The auxiliary structure that holds the distance (novelty) metric value between ...