From: Particle swarm optimization using multi-information characteristics of all personal-best information
PSO variant | Topology | Parameters settings |
---|---|---|
PSO-cf | Local ring | ω:0.9 − 0.4, c 1 = c 2 = 2.0 |
FIPS | Local ring | χ = 0.729, ∑ c i  = 4.1 |
HPSO-TVAC | Global star | ω:0.9 − 0.4, c 1:2.5 − 0.5, c 2:0.5 − 2.5 |
DMS-PSO | Dynamic multi-swarm | ω:0.9 − 0.4, m = 3, R = 5 |
VPSO | Local von neumann | ω:0.9 − 0.4, c 1 = c 2 = 2.0 |
CLPSO | Comprehensive learning | ω:0.9 − 0.4, C = 1.49455, m = 7 |
APSO | Global star | \(\omega :0.9,c_{1} = c_{2} = 2.0,\delta :{\text{random in [0}} . 0 5 { 0} . 1 ] , { }\sigma : 1 { - 0} . 1\) |