Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...
Abstract. There are evolutionary trajectories in two different but related spaces, design space and niche space. Coevolution occurs in parallel trajectories in both spaces, with co...
This paper presents an approach to automatic discovery of functions in Genetic Programming. The approach is based on discovery of useful building blocks by analyzing the evolution...
This paper proposes a code granulation space which can be applied to program construction and processing. Each granule in the space is defined as an improvement to the seed progra...