Equalization Optimizer-Based LSTM Application in Reservoir Identification
Table 1
Algorithm steps of TAFEO.
Algorithm: TAFEO
Input: Population size: , the maximum number of iterations: , number of dimensions: , parameters: ,
Output: Global optimal position and global optimal position adaptation
1. Initializing the location of the population using the tent chaotic mapping
2. Set up four initial equilibrium candidate solutions
3. While t < T
4. For i = i: D
5. Calculate the fitness of the four equilibrium candidate solutions
6.
7. End for
8. For i = i: N
9: Find the best fit by comparing the fit between particles
10: End
11: Calculation
12: Building a balanced pool
13: For i = i: N
14: Generate the exponential term coefficients , the mass generation rate and calculate the optimal solution according to equations (5), (10)–(12) and according to equation (13)
15. Introduce a premature perturbation strategy to determine whether to fall into a local optimum solution and to determine whether to reset the particle position
16: End
17: Update the global optimal position and the global optimal position adaptation
