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#> Differential Evolution algorithm in R
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This distribution was proposed by Bebbington (2007). The probability density function \(f(x)\) and cumulative density function \(F(x)\) are given by:
\[f(x) = \left( \mu+ \frac{\sigma}{x^2} \right) e^{\mu x - \sigma / x} \exp \left( -e^{\mu x - \sigma / x} \right),\]
and
\[F(x) = 1 - \exp[-e^{\mu x - \sigma / x}], \quad x > 0.\]
respectively, where \(\mu > 0\), \(\sigma > 0\) and \(x > 0\).
Next figure shows possible shapes of the \(f(x)\) and \(F(x)\) for several values of the parameters.