Opossum includes two of the best-performing optimization algorithms in Grasshopper: model-based RBFOpt and evolutionary CMA-ES. 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.)
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.
Opossum requires a free license key, which you can get here.
Opossum has been developed at the Advanced Architecture Lab with support from the SUTD-MIT International Design Centre.
Version History
Opossum 1.7.1 2019-May-27
- Genepools for CMAES starting point.
Opossum 1.7.0 2019-April-28
- Includes CMA-ES algorithm
- Eliminates need for installer (just drop Opossum.gha and the "Solvers" folder into Libraries)
- Updated to RBFOpt 4.1.1: New options, more efficient initialization phase
Opossum 1.5.0 2018-March-16
- Thread-safe
- Canvas lockscreen
- Automatic "max_evaluation" setting
Opossum 1.4.3 2017-Sept-30
- Ensured Invariant Culture
Opossum 1.4.2 2017-Sep-23
- Bug Fix
Opossum 1.4.1 2017-Sep-17
- Update to RBFOpt 3.0.1: faster performance with improved local search
- Results tab allows examination of all optimization results
Opossum 1.2.3 2017-Jun-06
- Fixed bug caused by very long PATH variable
Opossum 1.2.2 2017-Jun-12
- Fixed license write-permission issue
Opossum 1.2.1 2017-Jun-12
- Updated to RBFOpt 2.1: faster performance
- Included example file
- Small bugfixes
Opossum 1.1.3 2017-Jun-12
- Opossum window always on top.
Opossum 1.1.2 2017-Jun-12
- More compact libraries
- Culture-independent license check
Opossum 1.1.1 2016-Oct-27
- GUI Improvements
- Installer Improvements
- Bug Fixes
