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Util

Opossum

ADDON. Version 3.0.3. Released on 2021-Apr-07. Provides 3 components. Created by Thomas Wortmann. Features 0 video tutorials.
Opossum includes two of the best-performing,single-objective optimization algorithms in Grasshopper: model-based RBFOpt and evolutionary CMA-ES. It also include the multi-objective RBFMOpt and NSGA-II algorithms. RBFOpt uses advanced machine learning techniques to find good solutions with a small number of function evaluations, i.e. simulations, while CMA-ES reliably finds near-optimal solutions when many function evaluations are possible. (Various papers with benchmark results are availabe here.) RBFMOpt won the “2-Objective Expensive” track of the international Black Box Optimization Competition 2019, surpassing the winner of the previous two years, the commercial algorithm Artelys Nitro. Opossum's GUI is similar to Galapagos. Opossum has a results table, which makes it easy to revisit all optimization results by double-clicking entries in the table.

Util

Opossum 2.0 (Optimization Solver with Surrogate Models)
Opossum provides model-based, gradient-free, and global optimization
Opossum
Params
Performance Explorer (MOVOpossum 3.0.0 Performance Explorer)
This component provides an interactive and intuitive user control for the fitness landscape

Site design © Robin Rodricks.   Opossum and associated data © 2024 Thomas Wortmann.  
Rhinoceros and Grasshopper are registered trademarks of Robert McNeel & Associates.  Hosted by GitHub

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