—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
This paper discusses the underlying pressures responsible for code growth in genetic programming, and shows how an understanding of these pressures can be used to use to eliminate...
: Genetic Programming (GP), a heuristic optimisation technique based on the theory of Genetic Algorithms (GAs), is a method successfully used to identify non-linear model structure...
Stephan M. Winkler, Hajrudin Efendic, Luigi del Re...
This paper argues about the partitioning in hardware/software co-design and suggests the methodology applying extreme programming to complement the co-design. This approach, contr...
Heeseo Chae, Dong-hyun Lee, Jiyong Park, Hoh Peter...