Human Behavior-Based Particle Swarm Optimization

Table 5

Some well-known PSOs algorithms in the literature.

Algorithm	Year	Topology	Parameter settings
GPSO	1998	Global star	𝑤: 0.9−0.4, 𝑐1=𝑐2=2.0
LPSO	2002	Local ring	𝑤: 0.9−0.4, 𝑐1=𝑐2=2.0
FIPS	2004	Local Uring	𝜒=0.729, ∑𝑐𝑖=4.1
HPSO-TVAC	2004	Global star	𝑤: 0.9−0.4, 𝑐1∶2.5−0.5, and 𝑐2: 0.5−2.5
UPSO	2004	Global star	𝑤: 0.9−0.4, 𝑐1=𝑐2=2.0, and 𝑈=0.5
DMS-PSO	2005	Dynamic multiswarm	𝑤: 0.9−0.2, 𝑐1=𝑐2=2.0, 𝑚=3, and 𝑅=5
VPSO	2006	Local Von Neumann	𝑤: 0.9−0.4, 𝑐1=𝑐2=2.0
CLPSO	2006	Comprehensive learning	𝑤: 0.9−0.4, 𝑐=1.49445, and 𝑚=7
QIPSO	2007	Global star	𝑤: 0.9−0.4, 𝑐1=𝑐2=2.0
APSO	2009	Global star	𝑤: 0.9, 𝑐1=𝑐2=2.0; 𝛿∶randomin[0.05,0.1], 𝜎: 1−0.1
AFPSO	2011	Global star	𝑤: 0.9−0.4, 𝑐1, and 𝑐2 are based on fuzzy rule
AFPSO-QI	2011	Global star	𝑤: 0.9−0.4, 𝑐1, and 𝑐2 are based on fuzzy rule