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.
Latest Activity: yesterday
It appears that Octopus (by default) takes the lesser amount from the objectives as better solutions. Is there a way to reverse that?, e.g. in Galapagos it's done by selecting Maximum or Minimum,…Continue
Started by Pin. Last reply by Pin on Tuesday.
Hi all, this is going to be long, but its going to be clear, so everyone understands and can use it in the future:I am in the process of assessing the trade-offs between A) heating energy intensity…Continue
Started by Iason Bournas. Last reply by Amaraa Jun 7.
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