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📁 非常好的进化算法EC 实现平台 可以实现多种算法 GA GP
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+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+Function maximization with Evolution Strategy (maxfctes):An ES example with Open BEAGLECopyright (C) 2001-2003by  Christian Gagne <cgagne@gmail.com>and Marc Parizeau <parizeau@gel.ulaval.ca>+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+Getting started===============  Example is compiled in binary 'maxfctes'. Usage options is described by  executing it with command-line argument '-OBusage'. The detailed help can  also be obtained with argument '-OBhelp'.Objective=========  Find the maximum of the following 5D function (LaTeX syntax):  $f(x) = \frac{161.8}{(u_N^2 \sum_{k=0}^{N-1}(x_k^2 + u_k^2))}$  with $x = <x_0, x_1, ..., x_{N-1}>$, $u_{k+1} = x_k + u_k$, $x_k$  in $[-200,200]$ for all $k$, $N = 5$ and $u_0 = 10$.Representation==============  Vector of five ES pairs, each pair being an association of a value  and a mutation strategy parameter. The values represents the function's   five arguments \f$x_i\f$. They are limited in the interval  \f$[-200,200]\f$ at the evaluation time.Fitness=======  Value of $f(x_1,x_2,x_3,x_4,x_5)$.

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