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Model Driven Rapid Prototyping of Heuristic Optimization Algorithms

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Computer Aided Systems Theory - EUROCAST 2009 (EUROCAST 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5717))

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Abstract

In this paper the authors describe a model driven approach for the development of heuristic optimization algorithms. Based on a generic algorithm model, several operators are presented which can be used as algorithm building blocks. In combination with a graphical user interface, this approach provides an interactive and declarative way of engineering complex optimization heuristics. By this means, it also enables users with little programming experience to develop, tune, test, and analyze heuristic optimization techniques.

The work described in this paper was done within HEUREKA!, the Josef Ressel centre for heuristic optimization sponsored by the Austrian Research Promotion Agency (FFG). Visit http://heureka.heuristiclab.com for more details.

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References

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© 2009 Springer-Verlag Berlin Heidelberg

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Wagner, S., Kronberger, G., Beham, A., Winkler, S., Affenzeller, M. (2009). Model Driven Rapid Prototyping of Heuristic Optimization Algorithms. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2009. EUROCAST 2009. Lecture Notes in Computer Science, vol 5717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04772-5_94

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  • DOI: https://doi.org/10.1007/978-3-642-04772-5_94

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04771-8

  • Online ISBN: 978-3-642-04772-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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