Table 2 Parameter settings for different algorithm.

From: End fire linear antenna array synthesis using differential evolution inspired Adaptive Naked Mole Rat Algorithm

Algorithm

Specifications

SSA29

NP = 25; N = 10; \({t}_{max}\) = 500; c1 = [2 to 0]

CS30

NP = 25; N = 10; \({t}_{max}\) = 500; pa = 0.25

AHOA31

NP = 25; N = 10; \({t}_{max}\) = 500; migration coefficient = 2* NP

ChOA32

NP = 25; N = 10; \({t}_{max}\) = 500; f = [2.5 to 0]; a = [− 1, 1]; c = [2 to 0]

NMRA20

NP = 25; N = 10; \({t}_{max}\) = 500; \({b}_{p}\)=0.5, \({\lambda }_{m}\)=0.5

ANMRA

NP = 25; N = 10; \({t}_{max}\) = 500; \({b}_{p}\)=0.5, \({\lambda }_{m}\)= \({\alpha }_{1}\)  = \({\alpha }_{2}\)= adaptive

  1. Here, NP is the population size, N is the Dimension of the problem or antenna size, \({t}_{max}\) is the maximum number of iterations.