Table 2.

Parameters settings of physical, mathematical and swarm inspired algorithms

Algorithms	Parameters setting
Common settings	Population size ($N=10$)
	Maximum number of iterations ($T=100$)
	Maximal limit=1
	Minimal limit=0
	Dimension corresponds to the number of blocks $(D=49)$
AOA (Hashim et al. 2020)	$c_1=2$ and $c_2=6$
	$\alpha =0.9$ and $\beta =0.1$
EO (Faramarzi et al. 2020)	$a_1=2$
	$a_2=1$
	Generation Probability $(GP=0.5)$
MVO (Mirjalili et al. 2016)	Wormehole Existance Prob
	$(WE{P}_{\mathit{max}}=1$ and $WE{P}_{\mathit{min}}=0.5)$
	Traveling Distance Rate (TDR $\in$ [0.5; 1])
HGSO (Hashim et al. 2019)	Clusters number=2
	$M_1=0.1$ and $M_2=0.2$
	$\alpha =\beta =1$ and $K=1$
	$l_1=5E-03$, $l_2=1E+02$ and $l_3=1E-02$
EPO (Dhiman and Kumar 2018)	Temperature Profile $(T^{{}^{\prime }}\in$ [1; 1000] )
	A $\in$ $[-1,1.5]$
	$M=2$
	f $\in$ [2, 3]
	l $\in$ [1.5, 2]
	Function S() $\in$ [0, 1.5]
SCA (Mirjalili 2016)	a $\in$ [2, 0]
MRFO (Zhao et al. 2020)	$S=2$
HHO (Heidari et al. 2019)	$\beta =1.5$