Benefits of plugin-based heuristic optimization software systems

Authors:
Stefan Wagner;Stephan Winkler;Erik Pitzer;Gabriel Kronberger;Andreas Beham;Roland Braune;Michael Affenzeller
Affiliations:
Department of Software Engineering, Upper Austrian University of Applied Sciences, Hagenberg, Austria;Research Center Hagenberg, Upper Austrian University of Applied Sciences, Hagenberg, Austria;Research Center Hagenberg, Upper Austrian University of Applied Sciences, Hagenberg, Austria;Research Center Hagenberg, Upper Austrian University of Applied Sciences, Hagenberg, Austria;Research Center Hagenberg, Upper Austrian University of Applied Sciences, Hagenberg, Austria;Research Center Hagenberg, Upper Austrian University of Applied Sciences, Hagenberg, Austria;Department of Software Engineering, Upper Austrian University of Applied Sciences, Hagenberg, Austria
Venue:
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Year:
2007

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Abstract

Plugin-based software systems are the next step of evolution in application development. By supporting fine grained modularity not only on the source code but also on the post-compilation level, plugin frameworks help to handle complexity, simplify application configuration and deployment, and enable users or third parties to easily enhance existing applications with self-developed modules without having access to the whole source code. In spite of these benefits, plugin-based software systems are seldom found in the area of heuristic optimization. Some reasons for this drawback are discussed, several benefits of a plugin-based heuristic optimization software system are highlighted and some ideas are shown, how a heuristic optimization meta-model as the basis of a thorough plugin infrastructure for heuristic optimization could be defined.