Research Article

A Synchronous-Asynchronous Particle Swarm Optimisation Algorithm

Table 13

Test parameters for experiment on the effect of .

ParameterValue

Number of runs for each experiment500
Number of iterations2000
Velocity clamping, 4
Range of inertia weight, 0.9–0.4
Learning factors
2
2
Number of groups5
Group’s size6