algorithmic modeling for Rhino
Hi, I am currently working on optimizing an element based on two sliders.
And i have 60 similar elements with different context each which i want to optimise the same as the first element.
For one element, its coming perfectly using both the solvers.
But when i connect it to gene pool of 60 + 60 = 120 gene count. its not solving properly. i left it for almost 15hr, still not solved.
which solver should use , Evolutionary or annealing?
in annealing solver , how to choose previous track solution?
is there any way to get it?
Note: Fit conditions are directly related to the gene pool. i hope there is no problem in fit condition.
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I am not entirely sure since the description of the problem is missing but:
1.
lets assume you slider has two possible states 0 and 1 then with two sliders there are four possibilities:
00, 01, 10, 11
with three sliders 8:
000, 001, 010, 011, 100, 101, 110, 111
with 120 slider -> 2^120 = 1.329 * 10^36
http://www.wolframalpha.com/input/?i=+2%5E120
2.
How do you combine the fitness function? Galapagos only takes 1 number as a fitness so this might be a problem as well, simple mass addition might not do the trick.
Thanks Richard, Yeah you got the point. How can i solve for 60 different fitness values. everything passed as separate list.?
You can't it only accepts one fitness value, end...
Again what is the fitness function? Galapagos can not find the best solution or a right solution it can only compare solutions and evaluate which one is better.So using Galapagos to find solutions without "error" is a bad use case, all solutions should be correct and than you can use Galapagos to find a fitter version.
As it looks from the images the question is if you need Galapagos to solve it... it looks like you could find a way how to construct the result.
Thank you so much for your advice Richard, I will work more on it. this is one my 1st real life project with grasshopper.
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