. 2024 Jul 22;27(8):110561. doi: 10.1016/j.isci.2024.110561

Table 2.

The parameters of the algorithm involved

Algorithm	Parameters
RIME	$w = 5$ , $E = \sqrt{t / T}$
SCA	$c_{1} = r a n d$ , $c_{2} = r a n d$ , $l = 2$
WOA	$b = 1$ , $r_{1} = r a n d$ , $r_{2} = r a n d$
DE	$b e t a \in [0.2, 0.8]$ , $p c r = 0.2$
SSA	$c_{1} = r a n d$ , $c_{2} = r a n d$ , $l = 2$
PSO	$w_{\max} = 0.9$ , $w_{\min} = 0.2$ , $c_{1} = c_{2} = 2$
MFO	$b = 1$ , $a = - 1 + F E s (- 1 / M a x F E s)$ , $t = (a - 1) r a n d + 1$
GWO	$r_{1} = r a n d$ , $r_{2} = r a n d$ , $a = 2 - F E s (2 / M a x F E s)$
BA	$Q_{\min} = 0$ , $Q_{\max} = 2$
CS	$b e t a = 1.5$ , $p a = 0.25$
FA	$α = 0.5$ , $b e t a_{\min} = 0.2$
CPA	$a = \exp (9 - 18 F E s / M a x F E s)$ , $S 0 = a (1 - F E s / M a x F E s)$
HHO	$c = 2 (1 - (F E s / M a x F E s))$ , $E s c a p i n g_E n e r g y = c (2 r a n d - 1)$
EBOwithCMAR	$m e m o r y s i z e = 6$
LSHADE_cnEpSi	$p b = 0.4$ , $p s = 0.5$
ALCPSO	$w = 0.4$ , $c_{1} = 2$ , $c_{2} = 2$ , $T = 2$
CLPSO	$c = 1.49445$
LSHADE	$p_b e s t_r a t e = 0.11$ , $\max_p o p s i z e = p o p s i z e$
SADE	$n u m s t = 4$
JADE	$c = 0.1$ , $c r m = 0.5$ , $f m = 0.5$
RCBA	$Q_{\min} = 0$ , $Q_{\max} = 2$
EPSO	$n s i z e = 3$ , $L P = 50$
CBA	$Q_{\min} = 0$ , $Q_{\max} = 2$
LWOA	$b = 1$ , $b e t a = 1.5$