Satisfiability testing (SAT) is a very active area of research today, with numerous real-world applications. We describe CLASS2.0, a genetic programming system for semi-automatica...
Scatterograms of the images of training set vectors in the hidden space help to evaluate the quality of neural network mappings and understand internal representations created by t...
Abstract. In this contribution we investigate the influence of different variation effects on the growth of code. A mutation-based variant of linear GP is applied that operates ...
Issues of network reliability are very important in modern computer networks. Even a short failure of a network link can cause substantial consequences. In this paper we concentrat...
In sequential prediction tasks, one repeatedly tries to predict the next element in a sequence. A classical way to solve these problems is to fit an order-n Markov model to the da...