Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention. In this paper, we pre...
— The idea of using evolutionary techniques to optimize the performance of neural networks is now widely used, but some approaches have been found to result in the evolution of r...
We apply genetic programming to the evolution of strategies for playing chess endgames. Our evolved programs are able to draw or win against an expert human-based strategy, and dra...
The factory of the future is going to have a high, but not full, degree of automation. There are three reasons for that. First, no great level of automation is compatible with req...
Code smells are design flaws in object-oriented designs that may lead to maintainability issues in the further evolution of the software system. This study focuses on the evolutio...
Steffen Olbrich, Daniela Cruzes, Victor R. Basili,...