Idea – Could A Noise Filter Improve Genetic Algorithms?

The idea is simple.

I was going to test if you could ”paint” with genetic algorithms. I thought it would generate good enough approximation to the target image.

That is. I set the score of the genetic algorithm to reflect the image. Then as the score got higher. The solution would get more similar to the target.

What I found was that the solution converged extremely slowly and still looked noisy.

So I wonder. If I do image noise reduction for the intermediate steps. Would the calculation converge quicker and be of better quality?

Example. Several “enfuse – Linux terminal command” stacked images of a image solution.

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