OPtimizatiOn Solver with SUrrogate Models (Opossum)
developed by Thomas Wortmann
Opossum is the first surrogate-based optimization tool for Grasshopper and based on the RBFOpt library. It uses advanced machine learning techniques to find good solutions with a small number of iterations.
For more background and benchmark results, see our publications on Researchgate. For questions or comments, feel free to write to email@example.com.
If you haven’t done so already, download Opossum here. To receive your free license key, please help us by filling out this small survey. We’ll use your email address to inform you about updates to Opossum, and for our low traffic newsletter.
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