goat is an optimization solver add-on component. It perfectly complements galapagos, David Rutten's evolutionary solver based on a randomized core. goat pursues a mathematical rigorous approach and relies on gradient-free optimization algorithms, delivering fast and deterministic results. At every run, goat will yield the same optimal result.
goat is a drop-in replacement for galapagos. It is based on David Rutten's galapagos GUI and interfaces NLopt, a collection of mathematical optimization libraries.
Tutorials
For getting started with optimization in parametric modelling environments in general and with goat in special, check out our presentation slides onĀ Geometry and Optimization with several comprehensive examples.
Once you are familiar with the basics of optimization, head over to our comprehensiveĀ documentation on goat's different configuration options.
This release introduces long-awaited support for gene lists / gene pools. Moreover, we cleaned up the code base and provide a convenient setup tool for automatic installation.
goat
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Description
goat is an optimization solver add-on component. It perfectly complements galapagos, David Rutten's evolutionary solver based on a randomized core. goat pursues a mathematical rigorous approach and relies on gradient-free optimization algorithms, delivering fast and deterministic results. At every run, goat will yield the same optimal result.
goat is a drop-in replacement for galapagos. It is based on David Rutten's galapagos GUI and interfaces NLopt, a collection of mathematical optimization libraries.
Tutorials
For getting started with optimization in parametric modelling environments in general and with goat in special, check out our presentation slides onĀ Geometry and Optimization with several comprehensive examples.
Once you are familiar with the basics of optimization, head over to our comprehensiveĀ documentation on goat's different configuration options.
goat 3.0 - an optimization solver component
by Simon Flöry
Nov 22, 2016
Hi everybody,
We are happy to announce version 3.0 of our fast and versatile optimization component goat. Download is available as usual from
http://www.rechenraum.com/goat/download.html
This release introduces long-awaited support for gene lists / gene pools. Moreover, we cleaned up the code base and provide a convenient setup tool for automatic installation.
Happy optimizing! Simon