Opossum—OPtimizatiOn Solver with SUrrogate Models
(by Thomas Wortmann)
Opossum is the first model-based optimization tool for Grasshopper and based on the RBFOpt library
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Opossum is the first model-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 function evaluations, i.e. simulations. 

Opossum's GUI is similar to Galapagos. It's speciality is finding close to optimal solutions in 100 - 300 evaluations, while genetic algorithms and particle swarms typically need many more steps. (Various paper with benchmark results are availabe here.)

Opossum has a results table, which makes it easy to revisist all optimization results by double-clicking entries in the table.

Opossum comes with a self-installing *.exe. To run it, you will also need a free license key, which you can get here.

Version History

 

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 4.1: 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 1.0.3        2017-Jun-12
•    Opossum window always on top.

Opossum 1.2.1        2017-Jun-12
•    More compact libraries
•    Culture-independent license check

Opossum 1.1.1        2016-Oct-27
•    GUI Improvements
•    Installer Improvements
•    Bug Fixes

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