algorithmic modeling for Rhino
Running octopus iteration every time quelea agent's lifetime has finished
Ok so I have made this 5 parametric lofts (pic 1). In this case only 2 of them work has environment for quelea agents to move on them (pic 2).
The agents generated by this agent-base component Quelea (http://www.food4rhino.com/app/quelea-agent-based-design-grasshopper) take like 40 seconds when the toggle activates to go from one end of the ramp to another.
With proximity 3d i'm analyzing each instance the agents are closer than x units. In picture 3 we can see that in 212 instances the agent are closer than those x units.
Finally all the genes that controll the ramps are connected to the G of octopus component and one of the conflicting objectives connected to the O of octopus component is the number of instance quelea agents get close.
So the thing I need is to iterate the ramps controling the genes with octopus but activating the boolean toggle (quelea run) each time the ramps are modified so the agents take 40 seconds to perambulate the environment, analyze the instance they get close and let octopus iterate again searching for a optimized environment.
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Permalink Reply by Aditya Tognatta on
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you could count the number of iteration you want before any calculations needs to be done on them. then create a stream filter that passes the data through it.
Hope this helps!
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If you could post your definition, I could think of a better/faster solution. This is how, I usually do when working with Octopus or anemone.
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Permalink Reply by Javier Andres Garcia Perez on
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Dear Aditya, thanks for the reply. I 've edited the discussion and posted the definition.
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I don't understand how to apply it, can you explain to me how could this solver the problem? thank you
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Permalink Reply by Andrés Utz on
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maybe yo can activate quelea with a cull pattern that set true only when new geometry been created.
As weel you can cull only analyzed geometry with quelea as valid solution in octopus.
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Dear Andres, thanks for the reply. I suppose that that is a coherent way of solving the problem, i'll work on that.
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