— An evolutionary algorithm automatically discovers suitable solutions to a problem, which may lie anywhere in a large search space of candidate solutions. In the case of Genetic...
Distributed processing of real-world graphs is challenging due to their size and the inherent irregular structure of graph computations. We present HIPG, a distributed framework th...
Elzbieta Krepska, Thilo Kielmann, Wan Fokkink, Hen...
This paper outlines DIAPLAN, a visual rule-based programming language and environment that is based on the computational model of graph transformation. Thanks to its genericity, D...
The understanding of the structure of a software system can be improved by analyzing the system’s evolution during development. Visualizations of software history that provide o...
This paper analyses the efficiency of the Cartesian Genetic Programming (CGP) methodology in the image operator design problem at the functional level. The CGP algorithm is compare...