This is a demo of how the population of individuals in a Genetic Algorithm (GA) converges to one of the global minima. See how the population starts randomly in "Generation 0" and slowly the population converges to one of the global minima over generations and finally stays there. This is called "convergence".
Function: x*sin(x) where x in [-5.5:5.5]
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