In this paper, we develop techniques based on evolvability statistics of the fitness landscape surrounding sampled solutions. Averaging the measures over a sample of equal fitness...
Tom Smith, Phil Husbands, Paul J. Layzell, Michael...
In this paper, we present the evolution of adaptive resonance theory (ART) neural network architectures (classifiers) using a multiobjective optimization approach. In particular, w...
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mo...
Background: Phylogenetic relationships between genes are not only of theoretical interest: they enable us to learn about human genes through the experimental work on their relativ...
This paper describes circuit evolutionary experiments at extreme low temperatures, including the test of all system components at this extreme environment (EE). In addition to hard...
Ricardo Salem Zebulum, Adrian Stoica, Didier Keyme...
This paper proposes a novel recombination scheme for evolutionary algorithms, which can guide the new population generation towards the maximum increase of the objective function....