Fusion Global-Local-Topology Particle Swarm Optimization for Global Optimization Problems

Table 15

Some well-known PSO algorithms in the literature.

Algorithm	Topology	Parameter settings
PSO	Global star	ω: 0.9–0.4, 𝐶1=𝐶2=2.0
QIPSO	Global star	ω: 0.9–0.4, 𝐶1=𝐶2=2.0
FIPS	Local U-ring	χ = 0.729, ∑𝑐𝑖 = 4.1
DMS-PSO	Dynamic multiswarm	ω: 0.9–0.2, 𝐶1=𝐶2=2.0,𝑚=3,𝑅=5
CLPSO	Comprehensive learning	ω: 0.9–0.4, 𝐶=1.49445,𝑚=7
AFPSO	Global star	ω: 0.9–0.4, 𝐶1,𝐶2 are based on fuzzy rule [19]
AFPSO-QI	Global star	ω: 0.9–0.4, 𝐶1,𝐶2 are based on fuzzy rule [19]
FGLT-PSO	Global star and local ring	ω: 0.9–0.4, 𝐶1: 0.5–2, 𝐶2: 1-2, 𝐶3: 0.5–1.5