a novel approach to adaptive isolation in evolution strategies
Hierarchically organised evolution strategies have been seen to be able to successfully adapt step lengths where mutative self-adaptation fails. However, the computational costs of such strategies are high due to the need to evolve several subpopulations in isolation, and their performance depends crucially on the length of the isolation periods. This paper proposes a novel approach to adapting the length of the isolation periods that is found to robustly generate good settings across a range of test functions.
reproductive isolation step length adaptation