Status

This document describes the current status of EALib (and its associated libraries), lists known issues, and contains a list of upcoming / desirable features.

Upcoming features / changes

• Add an evolutionary game theory algorithm. Fitness function object should take a Population: template <typename Population, typename RNG, typename EA> void operator()(Population& p, ...)
• Re-institute concept checking
• Transparent MPI support for meta-populations.
• Consider a gene-parsing framework that standardizes the genome representation into a circular vector, and provide a way to easily define genes within that genome. This effectively turns the whole EA into a genetic algorithm, which is fine.
• Enable an EA to be configured / controlled via python.
• Develop a Boost::Parameter interface to ea::evolutionary_algorithm (and the other EAs: digital_evolution, novelty_search…).
• Metapopulation datafile wrapper that enables transparent use of subpopulation-specific data files.