In this paper, we propose a genetic network programming (GNP) architecture using a coevolution model called automatically defined groups (ADG). The GNP evolves networks for describ...
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
Features are often the basic unit of development for a very large software systems and represent long-term efforts, spanning up to several years from inception to actual use. Deve...
Mark G. Bradac, Dewayne E. Perry, Lawrence G. Vott...
We consider some issues in optimizing persistent programming languages. In particular, we show how to express optimizations of object residency checks in strongly typed persistent...
We study computer virology from an abstract point of view. Viruses and worms are self-replicating programs, whose constructions are essentially based on Kleene's second recurs...