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How to use GA (Genetic Algorithm) without explicit objective function and with data-set?

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Alireza Babaei
Alireza Babaei on 4 Feb 2021
Answered: Pratyush Roy on 17 Feb 2021
Dear scholars,
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?
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Can I generate neural netwok model for new data prediction and then export the model to integrate it with the GA?
Thanks!
  5 Comments
Walter Roberson
Walter Roberson on 5 Feb 2021
My suspicion is that the poster needs something equivalent to Neural Network approaches for either classification or forecasting, but was hoping to find some non-NN approach in order to cross-check (or just because they have to study a number of different aproaches to reach the same end.)

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Answers (1)

Pratyush Roy
Pratyush Roy on 17 Feb 2021
Hi,
Genetic algorithm will not work without an optimization function. To understand how GA works, refer to this link.
Hope this helps!

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