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The fitness of the algorithm was accessed using Root mean square error (RMSE) and mean absolute error (MAE). The RMSE of a predicted model with respect to the estimated variable xmodel is defined as the square root of the mean squared error [31].
Where, xobs is observed values, xmodel is modelled values at time i.
Mean absolute error (MAE) has been calculated as:
where xi is the prediction and yi is the true value.
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