genetic algorithm matlab minimization
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Hi, I would like to use the Optimization-ToolBox of Matlab that provide a tool for the Genetic Algorithms. I have a small equation (Score= alpha*(\sum(L[i])^(1/alpha) + Beta*(\sum(R[i])^(1/Beta)) that compute a score where L and R are vectors of values that I computed before and alpha and beta are parameters that I want to optimize via the GA. The constraint is that the scores should be close to another vector of scores called ground truth. We can formalize this constraint by : " |score - ground_truth_score|_2^{2}=0"
So for every L[i] and R[i], an Alpha and Beta would optimize the constraint defined before.
I'm trying to discover the GA in Matlab, however, I don't know how to formalize the constraint with the fitness function (the equation).
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