Abstract. We develop a framework for parallel computation of the optimal rough set decision reducts from data. We adapt the island model for evolutionary computing. The idea is to ...
Mohammad M. Rahman, Dominik Slezak, Jakub Wroblews...
Due to the scale and computational complexity of current simulation codes, metamodels (or surrogate models) have become indispensable tools for exploring and understanding the desi...
This paper describes the recently developed genetic programming paradigm which genetically breeds populations of computer programs to solve problems. In genetic programming, the i...
In this paper we use genetic programming for changing the representation of the input data for machine learners. In particular, the topic of interest here is feature construction i...
This paper describes the image processing techniques designed to localize the tracks of snowcats for the automation of transportation of goods and people during the Italian scienti...