Table 3 Key parameters of different algorithms.

From: A prediction model for microseismic signals based on kernel extreme learning machine optimized by Harris Hawks algorithm

Algorithm

Parameter setting

KSHHO

\(r=\left[ {0,1} \right];\alpha =1e - 3\)

HG_SMA

\(Elite\_num=10;c1=0.5;c2=2;w~=1.4\)

ACWOA

\(r=\left[ {0,1\left] {;w=} \right[0.5,1.5} \right];b=1\)

ALCPSO

\(w=0.4;~c1=c2=2;lifespan=60;~T=2;~pro=1/n\)

CGSCA

\(a=1;~\delta =0.1\)

ISNMWOA

\({a_1}=\left[ {0,2} \right];{a_2}=\left[ { - 2, - 1} \right];alpha~=~0.5\)

SRWPSO

\(W \in \left[ {0.2,0.9} \right];c1=c2=2\)

HHO

\(r=\left[ {0,1} \right]\)

RIME

\(W=5;q=0.6\)

FATA

\(arf=0.2\)

PSO

\(w \in \left[ {0.2,~0.9} \right]2;c1=2;c2=2\)