For problems where the evaluation of an individual is the dominant factor in the total computation time of the evolutionary process, minimizing the number of evaluations becomes cr...
Abstract. Genetic Programming often uses excessive computational resources because the population size and the maximum number of generations per run are not optimized. We have deve...
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
Abstract. This paper describes a new approach for parameter optimization that uses a novel representation for the parameters to be optimized. By using genetic programming, the new ...
We present a programming interface, called PICA, which aims to reduce the production cycle duration for communication protocols. It offers a user-friendly API that is very intuiti...