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Table 2 Chaotic functions [14]

From: An optimal solution to unit commitment problem of realistic integrated power system involving wind and electric vehicles using chaotic slime mould optimizer

Sr. No

Chaotic name

Mathematical description

1

Chebyshev

\(y_{i + 1} \, = \,\cos \left( {\cos^{ - 1} \left( {y_{i} } \right)} \right)\)

2

Iterative

\(y_{i + 1\,} = \,{\text{Sin}}\left( {{\raise0.7ex\hbox{${a\,\pi }$} \!\mathord{\left/ {\vphantom {{a\,\pi } {y_{i} }}}\right.\kern-0pt} \!\lower0.7ex\hbox{${y_{i} }$}}} \right)\,,\,a = 0.7\)

3

Sinusoidal

\(y_{i + 1} \, = ax_{i} \,{\text{Sin}}\left( {\pi xi} \right)\,;\,a\, = \,2.3\)

4

Sine

\(y_{i + 1} \, = \,\frac{a}{4}\,\,{\text{Sin}}\left( {\pi yi} \right)\,,a = 4\,\)

5

Circle

\(y_{i + 1} \, = \,\bmod \,(y_{i} \, + \,b\, - \left( {{\raise0.7ex\hbox{$a$} \!\mathord{\left/ {\vphantom {a {2\pi }}}\right.\kern-0pt} \!\lower0.7ex\hbox{${2\pi }$}}} \right)\,{\text{Sin}}\left( {2\pi y_{i} } \right)\,,\,\left. 1 \right)\,;\,a = 0.5,\,b = 0.2\)

6

Piecewise

\(\left\{ {\begin{array}{*{20}c} {{\raise0.7ex\hbox{${y_{i} }$} \!\mathord{\left/ {\vphantom {{y_{i} } p}}\right.\kern-0pt} \!\lower0.7ex\hbox{$p$}}} & {0 \le \,y_{i\,} \langle \,p} & {} \\ {{\raise0.7ex\hbox{${\left( {y_{i} \, - p} \right)}$} \!\mathord{\left/ {\vphantom {{\left( {y_{i} \, - p} \right)} {\left( {0.5 - p} \right)}}}\right.\kern-0pt} \!\lower0.7ex\hbox{${\left( {0.5 - p} \right)}$}}} & {p \le \,y_{i\,} \,\langle \,0.5} & {} \\ \begin{gathered} {\raise0.7ex\hbox{${\left( {1 - p - y_{i} } \right)}$} \!\mathord{\left/ {\vphantom {{\left( {1 - p - y_{i} } \right)} {\left( {0.5 - p} \right)}}}\right.\kern-0pt} \!\lower0.7ex\hbox{${\left( {0.5 - p} \right)}$}} \hfill \\ {\raise0.7ex\hbox{${\left( {1 - y_{i} } \right)}$} \!\mathord{\left/ {\vphantom {{\left( {1 - y_{i} } \right)} p}}\right.\kern-0pt} \!\lower0.7ex\hbox{$p$}} \hfill \\ \end{gathered} & \begin{gathered} 0.5 \le \,y_{i} \,\langle \,1 - p \hfill \\ 1 - p\, \le \,y_{i\,\,} \langle \,1\, \hfill \\ \end{gathered} & {,p = \,0.4} \\ \end{array} } \right.\)

7

Gauss/mouse

\(\left\{ {\begin{array}{*{20}c} {1,} & {y_{i} \, = 0} \\ {\frac{1}{{\bmod \left( {y_{i\,} ,1} \right)}}} & {{\text{otherwise}}} \\ \end{array} } \right.\)

8

Singer

\(y_{i + 1} \, = \,\mu \,\left( {7.86\,y_{i} - \,23.3\,y_{i}^{2} \, + 28.75\,y_{i}^{3} \, - 13.301875\,y_{i}^{4} } \right)\,,\,\mu \, = 1.07\)

9

Logistic

\(y_{i + 1\,} \, = \,a\,y_{i} \,\left( {1 - y_{i} } \right)\,,\,a = 4\,\)

10

Tent

\(y_{i + 1} = \,\left\{ {\begin{array}{*{20}c} {\left( {y_{i} /0.7} \right),} & {y_{i} \, < \,0.7} \\ {\left( {10/3} \right)\left( {1 - y} \right),} & {y_{i} \, \ge \,0.7} \\ \end{array} } \right.\)