+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+
Function maximization with Evolution Strategy (maxfctes):
An ES example with Open BEAGLE
Copyright (C) 2001-2003
by 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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