Iteration generation instead of optimization

[mst.torabi]

Hi, I have a problem with an optimization problem and due to the number of inputs, I need to do some of the calculations in Excel. All I need to do in grasshopper is to generate all the possible iterations (in the case of my model around400). how can I generate all the iterations instead of optimization? is there a plugin or code I can use?

[Dani_Abalde]

If you mean permutate in your parameter space, to get all sorted combinations of parameters, you can simply use this:

If not, then you should explain better what you mean by iteration generation.

[Joseph_Oster]

Python:

Random list order until successful Solid Union

In this case, where testing SUnion is “expensive”, it’s better to just test all 24 unique permutations of the sort sequence. I hacked a Python Perms component for that: The white group is useless fluff, the solution is done quickly at SUnion. [random list order_2021Jun6c] random list order_2021Jun6c.gh (33.2 KB)

CrossRef:

Creating a matrix of all possible outputs of a definition

The white group adds labels showing the dimensions of each permutation. Note that some of them are simply 90 degree rotations of others, it would be interesting to remove those eh? [permutations_2020Nov22a] permutations_2020Nov22a.gh (28.2 KB) The list of permutations below with some in bold noting that they are just rotated 90 degrees. {0;0} X=10, Y=10, Z=10 X=20, Y=10, Z=10 X=30, Y=10, Z=10 X=10, Y=20, Z=10 X=20, Y=20, Z=10 X=30, Y=20, Z=10 X=10, Y=30, Z=10 X=20, Y=30, Z=10 X=3…

[mst.torabi]

thanks, I used the cross-reference and it solved the problem