Hybrid Gradient Descent Grey Wolf Optimizer for Optimal Feature Selection

Pseudocode 1

Iterative stochastic gradient descent.

1. Begin

2. Randomly initialize the position vector and choose a suitable value of set size

3. While the maximum number of iterations is not exceeded

 a. Evaluate the partial derivative of the objective function with respect to the dimensions of the position vector

 b. Update the position vector according to equation (9)

4. End

5.

6. End