Using a strongly typed functional programming language for genetic programming has many advantages, but evolving functional programs with variables requires complex genetic operat...
This paper describes the application of genetic programming to synthesize a small form factor, 2 dimensional wire antenna for a 5.2 GHz 802.11a wireless LAN application. Utilizing ...
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
Two prominent genetic programming approaches are the graph-based Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP). Recently, a formal algorithm for construc...
Genetic programming (GP) extends traditional genetic algorithms to automatically induce computer programs. GP has been applied in a wide range of applications such as software ree...