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Machine Learning – What is a good way to find a near optimum or optimal state in a chart without heuristics or values?

What is a good way to find the optimal solution in a chart without heuristics or knowing the value of that condition until we get there? Is there a good way to create an estimate? I've looked at things like value and political iteration, as well as Q-learning, but what if there's another problem in evaluating the true rewards of a state that's very costly?

np – Can I calculate the time to find the optimum of a travel salesperson's problem with a supercomputer, and can I know that the city limit is now computerized?

I want to know the real limit of our computing power that we have now
What is the limit of the cities that I can achieve with optimal sol.
I believe that the first computer is 10 ^ 19 process in the second

can I calculate the time that it will take by looking at compounds of the directed graph?
and say the time by this force 10 ^ 19

how can I edit real graphic of the problem and delete cities from it

Optimization – Optimum implementation of an animation in UE4

We've already created a track spline animation for a tank, but it needs a lot of memory because it's implemented in a tick function. So every second has to be checked, but as you may know, it takes a lot of resources if there are more than 10 tanks.

I would like to ask if you have an optimal solution for this problem or are faced with such problems.

P.S. would be great if the solution would lie in blueprints.

Many Thanks!

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