Table 1 Parameters of used MFO technique.

From: Application of improved Jellyfish search algorithm for 9-parameters cell extraction and GMPPT in PV systems

Parameters

Values

Inertia Weight

\(\:\text{g}=0.80\)

Personal Learning Coefficient

\(\:{\text{a}}_{1}=1.0\)

Distance Sight Coefficient

\(\:{\upbeta\:}=2\)

Nuptial Dance

\(\:\begin{array}{c}\text{d}\text{a}\text{n}\text{c}\text{e}=5\end{array}\)

Random Flight

\(\:\begin{array}{c}\text{f}\text{l}=1\end{array}\)

Mutants Number

\(\:{\text{n}}_{\text{m}}=\:2\)

Mutation Rate

\(\:\text{m}\text{u}\text{t}\text{a}\text{t}\text{i}\text{o}{\text{n}}_{\text{r}\text{a}\text{t}\text{e}}=0.01\)

Global Learning Coefficient

\(\:{\text{a}}_{2}=1.50\text{\:and\:}{\text{a}}_{3}=1.50\)