Finding optimized configurations for variability-intensive systems without constraint violations using a Regulatory Algorithm (RGA)
Finding optimized configurations for variability-intensive systems without constraint violations using a Regulatory Algorithm (RGA)
Ole Meyer, Florian Wessling and Christina Kluever
Ole Meyer, Florian Wessling and Christina Kluever
University of Duisburg-Essen, Germany
University of Duisburg-Essen, Germany
University of Duisburg-Essen, Germany
University of Duisburg-Essen, Germany
University of Duisburg-Essen, Germany
University of Duisburg-Essen, Germany
Feature selection is one of the important challenges in variability-intensive
systems. The FCORE model is used for the description of the functional and
non-functional requirements of a system from a systems engineering point of
view. In addition we demonstrate a solution for feature selection using a
regulator algorithm (RGA). The RGA is a two dimensional evolutionary algorithm,
with regulator genes controlling the structural genes. This allows a direct
transfer of the FCORE model into the RGA, which optimizes the feature selection
without constraint violations.
