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  1. John, S., Burdusel, A., Bill, R., Struber, D., Taentzer, G., Zschaler, S., & Wimmer, M. (2019). Searching for Optimal Models: Comparing Two Encoding Approaches. In Theory and Practice of Model Transformation: 12th International Conference, Accepted.
  2. Burdusel, A., Zschaler, S., & Strüber, D. (2018). MDEoptimiser: A Search Based Model Engineering Tool. In Proceedings of the 21st ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings (pp. 12–16). Download
  3. Murphy, J., Burdusel, A., Luck, M., Zschaler, S., & Black, E. (2018). Deriving persuasion strategies using search-based model engineering. In Proceedings of the 7th International Conference on Computational Models of Argument (COMMA’18), IOS Press (pp. 221–232). Download
  4. Strüber, D., Burdusel, A., John, S., & Zschaler, S. (2018). Henshin: A Model Transformation Language and its Use for Search-Based Model Optimisation in MDEOptimiser. In I. Schaefer, D. Karagiannis, A. Vogelsang, D. Méndez, & C. Seidl (Eds.), Modellierung 2018 (pp. 299–300 ). Download
  5. Burdusel, A., & Zschaler, S. (2017). Automatic generation of evolution rules for model-driven optimisation. In 8th International Workshop on Graph Computation Models (GCM’17). Download
  6. Burdusel, A., & Zschaler, S. (2016). Model Optimisation for Feature Class Allocation Using MDEOptimiser: A TTC 2016 Submission. In A. Garcia-Dominguez, F. Krikava, & L. M. Rose (Eds.), Proceedings of the 9th Transformation Tool Contest (Vol. 1758, pp. 33–38). CEUR. Download
  7. Zschaler, S., & Mandow, L. (2016). Towards Model-Based Optimisation: Using Domain Knowledge Explicitly. In Proc. Workshop on Model-Driven Engineering, Logic and Optimization (MELO’16). Download