Optimal Deep Learning Model for Olive Disease Diagnosis Based on an Adaptive Genetic Algorithm

Algorithm 1

Pseudoalgorithm for hyperparameter selection.

  // Create the first population.

forall generation < n And fitness < Best-fit do.

  forall individual_Iin Pop do.

   //Decoding each individual in population.

   //extract epoch number and batch size.

// calculate fitness value for each individual

if F-ind_I Threshold then

Archive the finding solution

 –

// Create new population

Selection ();

Crossover();

Mutation();

generation++;