Skip to main content

Table 4 GA–PSO parameters

From: Artificial intelligence-based optimal EVCS integration with stochastically sized and distributed PVs in an RDNS segmented in zones

Parameter

Symbol

Value

Population size

\(n_{{{\text{POP}}}}\)

30

Number of iterations

\(T\)

20

Inertia coefficient

\(\omega\)

1

Personal learning coefficient

\(C_{1}\)

2

Social learning coefficient

\(C_{2}\)

2

Crossover and mutation probabilities

Pc, pm

1, 0.02