Hello. I’m working on a three-objective design problem and I wrote my fitness functions in python. And I used an elimination system (eg: if two rectangles work, delete the first one etc.) When I ran wallacei, many null solutions appeared. I exported these solutions and saw that these solutions did not comply with the rule I wrote in python. For me, it doesn’t seem to be a problem with the other solutions it has come up with now, and it’s a positive thing that it even eliminated the unsuitable ones. Do null solutions have this kind of working principle? Or can we say that there is still a design problem? Thank you
You are using the hidden power of null system in Wallacei which is what we tell people to use if they want to navigate the design space more intelligently. What you are doing is correct and does not have a negative impact on the results either.
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