Bad news first. Unfortunately, once youre done you cannot simply plug these in as it uses data recorder (records data changes that happen during galapagos run). At this point you could reinstate genomes of your choice and just write variable values down to recreate them separately from galapagos.
As for reinstating from my definition, as well as whole saving process, I post more precise instructions below.
I do not know your definition exactly, but lets say it uses 3 variables (A,B,C) and a fitness function value for each combination (F). You could plug these in order A,B,C,F to data recorder. You could also save any other value you want (as its glazing, lets say window-wall ratio or glazing type etc).
At this point you can run your definition. The part with filter values may not be needed if you need ALL GENOMES. If you are using penalty functions or are interested only in f.ex. certain A variable values you can use it. Otherwise you can plug it this way:
In next part all values are set so these line in one row in excel file. This way you can have separate columns for values you want to save. In this example - List_item_0=A; List_item_1=B, LIst_item_3=F. thats why you needed to keep in mind order of connection to data recorder. Youd have as many list item components as parameters youd like to save.
AFTER optimization is done you toggle “true” to have it saved to excel file with path of your choice.
So now you have excel file and you can modify it as you want. For example sort it so that it goes from genome with best fitness to the one with worst.
Next step is bringing this file into GH to look through the results, “reinstate”, visualize them, make graphs or whatever you come up with. It is this part of definition:
The “explode tree component” lets you get branches. In our example: Branch_0 = A, Branch_1 = B, etc.
To get all the columns from your file just right click on this component and click "match outputs. Now you need to get “list item” components that matches number of branches. you should plug everything from corresponding sliders into list items output. For example - reconnect all components from variable_A slider to list item corresponding to Branch_0. Ctrl+shift+click lets you get all the wires at once.
Now the slider connected to List item component lets you cycle through results. If you sorted your data as I mentioned before - 0 would be the best result. In this picture you’d get genome with 156th fitness value from the top.
Unfortunately you’d have to rerun your 3-day optimization, but I cant think of anything else. I know it is not elegant or convinient, but it worked for me.
PS. You could also look into colibri aggregator as i mentioned in that linked post.
Recently i experimented with daylight-based optimisations and it is pretty nice to get some graphs for fitness values and the polyline graph for genome (Like these from David Ruttens Blog https://ieatbugsforbreakfast.wordpress.com/2011/03/05/evolutionary-solver-mutations/)) together with geometry and animate the last slider - you get results (if you sorted excel file) from best to worst or other way round. This is a good way to show all genomes, as you want to.
Hope that helps,
Have a good one!