Evolution to the Xtreme: evolving evolutionary strategies using a meta-level approach
Dwight Deugo, D. Ferguson · 2004
In this paper we describe a meta-level evolutionary system that uses a meta-level GA to evolve strategies that perform better than known good strategies on a test bed of mathematical optimization problems. We examine the effects of the meta-level components and parameters on the problem set in order to help others in choosing the components and parameters for their meta-GAs.