Table 1 Basic information of the eight peer algorithms.

From: Adaptive hierarchical filtering particle swarm optimization for multiple magnetic dipoles modeling of space equipment

Algorithm

Parameters Settings

TAPSO22

\(\omega =0.7289\), \(p_c=0.5\),\(p_m=0.02\),\(M=N/4\)

XPSO34

\(\eta =0.2\), \(Stag_{max}=5\), \(p=0.5\)

AWPSO35

\(\omega = 0.9\sim 0.4\), \(\alpha =0.000035\), \(b=0.5\), \(c=0\), \(d=1.5\)

MAPSO36

\(\omega =0.1\sim 0.9\), \(F=1\), \(CR=0.5\), \(Np=3\), \(Ns=20\)

MPSO37

\(\omega =0.4\sim 0.9\), \(c_1=1.5\), \(c_2=1.5\)

ADFPSO38

\(\omega = 0.9\sim 0.4\), p, \(c_1\) and \(c_2\) are adjustable, \(K = 2\)

EOPSO39

\(R_{max}=0.5\), \(R_{min}=0.4\), \(G=7\)

PPSO40

\(Structure: 4-8-20-32\), \(\rho =0.02\)

AHFPSO

\(\omega =0.1 or 1.1\), \(c_1=c_{2,max}=1.5\), \(\delta =0.1\)