An Adaptive Hybrid Algorithm Based on Particle Swarm Optimization and Differential Evolution for Global Optimization

Table 2

Algorithms initialization.

Algorithm	Parameters	Reference
SPSO	𝑤=0.729, 𝑐1=𝑐2=1.49	[41]
PSO-w	𝑤 = 0.9 : 0.4, 𝑐1=𝑐2=2	[17]
PSO-TVAC	𝑤 = 0.9 : 0.4, 𝑐1 = 2.5 : 0.5, 𝑐2 = 0.5 : 2.5	[16, 38]
PSO-FDR	𝑐1=𝑐2=1, 𝑐3=2	[42]
DE	𝐹=0.5, CR=0.9	[20, 43]
jDE	𝐹𝑙=0.1, 𝐹𝑢=0.9, 𝜏1=𝜏2=0.1	[29]
HPSO-DE	PSO𝑝=0.3, DE𝑝=0.01, 𝑑𝑐=1.5, 𝑝=0	This paper