How to use GA (Genetic Algorithm) without explicit objective function and with data-set?
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Suppose I have experimental data-set. I have also the quantitative values of the inputs and output. But I donn't have the objective function. My questions is, does GA still work? I means how to implement genetic algorithm with only data-set but not the objective function?
Can I generate neural netwok model for new data prediction and then export the model to integrate it with the GA?