Research Article
Seismic Inversion Problem Using a Multioperator Whale Optimization Algorithm
| | Initialization phase: | | (1) | Initialize the population Xi of the MOWOA | | (2) | Calculate the fitness values | | (3) | Find according to the fitness values | | (4) | while t ≤ Max_iter do | | (5) | Update the nonlinear parameter a | | (6) | for i = 1, 2, …, N do | | (7) | Update the parameters (i.e., A, C, l, p, , F, and ) | | (8) | for j = 1, 2, …, M do | | (9) | if p < then | | (10) | if |A| < 1 then | | (11) | | | (12) | | | (13) | | | (14) | elseif |A| ≥ 1 then | | (15) | Select a random solution Xrand | | (16) | | | (17) | | | (18) | | | (19) | end if | | (20) | else if p ≥ then | | (21) | ifthen | | (22) | | | (23) | | | (24) | | | (25) | else then | | (26) | | | (27) | | | (28) | | | (29) | end if | | (30) | end if | | (31) | end for | | (32) | end for | | (33) | Calculate the fitness values | | (34) | if fit (V(t)) < fit (X(t)) then | | (35) | Select the fitness fit (V(t)) | | (36) | else then | | (37) | Select the fitness fit (X(t)) | | (38) | end if | | (39) | end while |
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