Solution flag is not valid. To initialize octopus, please set up a valid configuration.

Hello All,

I am trying out a single-objective daylight optimization with two hard constraints in order to keep measured daylight at the test points between the range 300< x < 3000 lux at a single moment of a year. The algorithm searches for the best shading configuration.

'Solution flag is not valid' warning pops up because the hard constraint value is false. When changing the configuration to true by changing the parameters, which is too hard when there are too many inputs, optimization starts. But, when started and then paused it is impossible to start again, unless the value in the hard constraint is true.

Is there a point that i am missing ? Do you have any recommendation to solve this problem ?

PS: The attached image shows optimization part of the definition

Best,

Mustafa

Attachments:

dylghtopt.png, 395 KB

Replies to This Discussion

Permalink Reply by Olivier Dambron on December 27, 2016 at 4:33

Hi Mustafa,

In case you have already found solutions when you pause, you could reinstate one and start again with presets.

Another trick, a bit rough though, would be to keep a copy of the gene pool at the state which is flagged 'True' so you dont have to reset all the sliders manually, just keep a backup and replace.

As for exactly what you are asking, I think adding a "Resume" function in Octopus would be great.
Let's hope the wizards come accross this threads.

Best,
Olivier

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