A natural evolution strategy with asynchronous strategy updates
Tobias Glasmachers · 2013
We propose a generic method for turning a modern, non-elitist evolution strategy with fully adaptive covariance matrix into an asynchronous algorithm. This algorithm can process the result of an evaluation of the fitness function anytime and update its search strategy, without the need to synchronize with the rest of the population. The asynchronous update builds on the recent developments of natural evolution strategies and information geometric optimization.