I would like to try combinatorial optimization.
The model to be optimized is a two-dimensional wall, and the panel arrangement is a parameter.
I am trying to optimize it with Galapagos now,
It do not work becouse It is a discrete problem and it has many exceptions.
If possible, I would like to extract all possible patterns in C # script and extract the best solution from all patterns.
[Panel placement rules]
· Do not arrange 2 panels continuously in the row
· Do not arrange 3 and more panels continuously in the column.
· All panels are connected
· There are places that are determined not to be placed in advance.
・The minimum number of panels to put in a row is determined.(50% or 30%)
[How to guide optimum solutions]
If there is a panel on the left side of the column, that column has -1,
If you have a panel on the right side of the column, think that the column has 1,
The average of the absolute values of the values obtained by adding all the column values of the same column is small
It is the optimal solution.
I am glad if someone tells me.
Thank you in advance.
conbinatorial optimization.gh (27.3 KB)