Research Article

A Synchronous-Asynchronous Particle Swarm Optimisation Algorithm

Table 1

Parameters setting for S-PSO, A-PSO, and SA-PSO.

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