DELETE - IT'S IMPLEMENTED ALREADY

We would also want to use the Ranking's Fitness function to use those 3: SPP, WF, WFM

Screenshots attached.

Bentra, What i am asking for is to allow us to use the following (screenshot attached to this msg),

You dont have to use those, but it atleast must be there for us who do want to use those, it is already implemented into SQ but not specifically to those functions...., would be a game changer for me atleast to use those features with those tests.

When you find a strategy with some parameters and it already entered your Databank based on your filters criteria,

Why the hell would you like to use ALL available parameters randomly to re-test with SPP/WF/WFM?,
It will take you ages!!,

Why wont we just have an optional way to use MIN / MAX / STEP in % of our Original parameters to do those?,

it would be more efficient this way, in a more logical way, and a more fast way,

Besides that, i added a reply below the original head post here that we should also be able to Evolve our SPP/WF/WFM scores with the help of the searching engine to use the Fitness to Fit and aim to get higher scores for our requirements of SPP/WF/WFM.

This kinda seems to be forgotten or something IMO...

GSB got this already, you can use Random/Genetic finesses with Random/Nearest parameters on WF

https://www.youtube.com/watch?v=y2W2SUXu92k&list=UUxxvWcvtZUzb3xyvIpOYmlg&index=14

but let say you had 4X4 WFM, each of the so its 16 different WFs overall,

we need some kind of a custom score metric, of all of them, so lets say 1 out of those 16 got a score of 0.62, ..... and so on,
so you take all the 16 Scores and divide it by the Number of WFM runs which is 16 and get the Average Total Score Value,

then we can just select to use it as a fitness criteria or something like that, i am sure the dev-team will figure something out.

we want to check the neighboring parameters of the 1st parameter first, leaving the other parameters UN-touched while we perform those optimizations,

etc, etc.., the video above explains it in perfection and perfect sense,

Because right now i assume we can only optimize all the parameters at-once all together which is kinda limiting us..,

an option to do "Independent Value Optimizations" would be great!, using SPP as it is, because we already got an awesome infrastructure built already inside SQ, so there is not much work needed.

Other videos that are doing the same'ish..:

https://youtu.be/-hRrfnVDo9Y

https://youtu.be/KtUZg0kn7lg

https://youtu.be/PaVIbaTRO7o

https://youtu.be/YLLqU_F7hms