Research Article
Student Enrollment and Teacher Statistics Forecasting Based on Time-Series Analysis
Algorithm 1
Whale optimization algorithm.
| Initialize the whale population | | Initialize a, A, and C | | Calculate the fitness value of each whale | | = the best whale | | (1) | t = 0 | | (2) | while (t < Max_iter) | | (3) | for each search whale | | (4) | Update a, A, C, l, and p | | (5) | if () | | (6) | if | | (7) | Update the position of the current whale by Encircling prey | | (8) | else | | (9) | if | | (10) | Select a random whale () | | | Update the position of the current whale by search for prey | | (11) | end | | (12) | end | | (13) | else | | (14) | if () | | (15) | Update the position of the current whale by bubble-net attacking method | | (16) | end | | (17) | end | | (18) | end for | | (19) | Check if any whale goes beyond the search space and amend it | | (20) | Calculate the fitness value of each whale | | (21) | Update if there is a better solution | | (22) | | | (23) | end while | | (24) | return |
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