Python code and Algorithm using the genetic algorithm to maximize the function f(x1,x2) = 16 + x₁*sin(8x₁)+x₂*sin(40x₂) for -16.0 x₁ 16.0 and -12.0 x₂ 12.0

Run GA 10 times at least for each run, using a different random seed. Track evolution progress over time, by measuring the mean and standard deviation over time of the average and maximum fitness of a 1000-individual population (call this PE). In addition, record the co-ordinates of the most fitting individual (x) with it with its fitness value f(x) (call this FF).