Publikation
Benefits of Plugin-Based Heuristic Optimization Software Systems
Outline:
S. Wagner, S. M. Winkler, E. Pitzer, G. K. Kronberger, A. Beham, R. Braune, M. Affenzeller - Benefits of Plugin-Based Heuristic Optimization Software Systems - LECTURE NOTES IN COMPUTER SCIENCE, Vol. 4739, No. 4739, 2007, pp. 747-754
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.
Personen:
- Prof. (FH) Priv.-Doz. DI Dr. Michael Affenzeller
- Prof. (FH) DI Dr. Stefan Wagner
- Prof.(FH) DI Dr. Stephan Winkler
- Dipl. Ing. Dr. Gabriel Kronberger
- DI (FH) Erik Pitzer
- Dipl.-Ing. Roland Braune
- DI Andreas Beham
Forschungseinheiten:
- School of Informatics, Communications and Media, Hagenberg
- Research Center Hagenberg
- Research Group Heuristic and Evolutionary Algorithms Laboratory

