Table 2 Performance Comparison of Optimization Algorithms in terms of Convergence.

From: IoT-based prediction model for aquaponic fish pond water quality using multiscale feature fusion with convolutional autoencoder and GRU networks

Algorithm

Iterations to Convergence

Time to Convergence (seconds)

RF-MOA

30

12

GA32

50

25

PSO33

45

20

ACO34

40

30

DE35

35

22

SA36

60

28

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