Table 4. Parameters settings.

Algorithm	Parameters
PSO	c1 = c2 = 2; wmin = 0.1 and Wmax = 0.9
ACO	τ0 = 1; p = 0.95; α = 1.2; β = 0.5.
RSA	γ = 0.9; θ = 0.5.
SO	c1 = 0.5; c2 = 0.05; c3 = 2
CO	n = 6; m = 2.
LR	Regression type = Lasso (L1); Regression coefficient = 1.
SVM	Regularization = 10; kernel = radial basic function; gamma = 0.01.
ANN	Hidden layers = (20, 2); activation = ReLU; solver = Adam, batch_size = 200.
RF	No. of Trees = 200; impurity = gini, max_features = 14; min_samples_split = 5.
CO-RF	Uses the parameters of the CO and RF