algorithmic modeling for Rhino
Octopus is a plug-in for applying evolutionary principles to parametric design and problem solving. It allows the search for many goals at once, producing a range of optimized trade-off solutions between the extremes of each goal.
Also see octopus.E for custom evolutionary algorithms.
Download the latest version on food4rhino
Octopus introduces multiple fitness values to the optimization. The best trade-offs between those objectives are searched, producing a set of possible optimum solutions that ideally reach from one extreme trade-off to the other.
Based on SPEA-2 and HypE from ETH Zürich and David Rutten's Galapagos User Interface. Developed by Robert Vierlinger in cooperation with Christoph Zimmel, karamba3d.com and Bollinger+Grohmann Engineers.
Some examples are provided here.
New commented examples and a brief manual are provided in the download of octopus on food4rhino.
Hello everyone,The question is as title shows. I want to define the first generation composing of two sections: one is selected by myself, and the other is generated by random selection. How can I do…Continue
Started by Dan Hou. Last reply by Dan Hou Sep 12.
Hi All / Robert,I am trying to replicate a resultant phenotype parameters/genes from the parameter export. I am finding a hard time to figure out how the parameter values are calculated ( they are…Continue
Started by Faisal Barazi. Last reply by Faisal Barazi Sep 3.
Hi Robert, We are using octopus to optimize for multi-dimensional objectives. The phenotype or mesh inputed to Octopus is a result of a loop created by a plug in called Anemone(…Continue
Started by Faisal Barazi. Last reply by Faisal Barazi Aug 29.
Add a Comment