Table 2 Algorithm’s parameter settings.
From: Chameleon swarm algorithm with Morlet wavelet mutation for superior optimization performance
Algorithms | Parameters | NFE’s |
|---|---|---|
Population size = 50, Iteration = 1000 | ||
CSA25 | \(\:{p}_{1}=0.25,{p}_{2}=1.50,{p}_{3}=1,\:\:{c}_{1}=1.75,{c}_{2}=1.75\) | 50,000 |
ACO31 | \(\:N\)=50, \(\:Q\)=20,\(\:{\tau\:}_{0}\)=1e−06, \(\:{q}_{0}\)=1, \(\:{\rho\:}_{g}\)=0.9, \(\:{\rho\:}_{l}\)=0.5, \(\:s\) =1, \(\:\beta\:\)=5 | 50,000 |
ABC36 | \(\:N=50,\:Limit=0.5\times\:N\times\:D\) | 50,000 |
EHO29 | \(\:N=25,\:\alpha\:=0.5,\:\beta\:=0.1\) | 50,000 |
EWA32 | \(\:N=50,\:\alpha\:=0.98,\:\beta\:=1,\:\gamma\:=0.9\) | 50,000 |
GSA30 | \(\:N\)=50, \(\:\alpha\:\)=20, \(\:{G}_{0}\)=100, \(\:k\)=[\(\:N\to\:\)1] | 50,000 |
KHA35 | \(\:N=50,\:{N}^{max}=0.01,\:{V}_{f}=0.02,\:{D}^{max}=0.005\) | 50,000 |
MBO37 | \(\:N=50,\:{S}_{max}=1.0,\:BAR=5/12,\:p=5/12\) | 50,000 |
PSO33 | \(\:N\)=50, \(\:{c}_{1}\)=2, \(\:{c}_{2}\)=2, \(\:w\)=[\(\:0.2\to\:\)0.9] | 50,000 |
SCA34 | \(\:N=50,\:a=2\) | 50,000 |
