... numerically[*]
e.g. for triangular fuzzy numbers 3 times.
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... rate[*]
The mutation rate defines how often a chromosome gets mutated at each generation.
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... values[*]
Fuzzy values are defined by L-R fuzzy values. Defined as:
$\mu_{ \ensuremath{\tilde{A}} }(x)=(m,\alpha,\beta)=\left\{ \begin{array}{ll}
L...
... 0\\
R(\frac{x-m}{\beta}), & if \ x > m, \ \beta > 0\\
\end{array} \right. $
with the characteristic functions L(u)=Max(0,1-u) and R(u)=Max(0,1-u)
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... ES[*]
2 parent chromosomes create 10 child chromosomes. From both the 2 best are selected for the next generation.
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... Runge-Kutta-Method[*]
With the Runge-Kutta Method any degree of accuracy may be obtained at each step but the better the accuracy the greater the number of function evaluations required. In this paper the classical 4th order Runge-Kutta Method has been chosen.
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Christoph Reich
1999-12-22