RGA - algorithm for black box global optimization

Fig.3.  Testing  of  RGA  with  one of standart test-functions:
gradient has jumps along a few lines but vanishes in a broad vicinity of minima
[ Sen, M. K., and P. L. Stoffa, Global Optimization Methods in Geophysical Inversion,
 as part of Advances in Exploration Geophysics Series, Elsevier Publishing Co.,
 The Netherlands, 1995 ].
            The sequence of images is similar to that on Fig.2:
a) the true  OF  in the range [-10.:10.]x[-10.:10.] with global minimum  0. at  the point (0., 0.);
b) the 1st movie is composed with 9 sequential tries,
c) the 2nd  one represents  the first  zoom,
d) the final 3rd movie shows the second zoom before RGA -auto-termination.

The global minimum is detected at the point  (0.0067, 0.0600) with the value  0.00000037.  The total number of OF calls is 541.
NB! Please, pay attention: isolines are not equidistant, but strongly dense near  '0' and '1'.
Objective function (~52 Kb)a)
Approximation in the entire domain (MOVIE: multiGIF ~460 Kb)b)
The 1st zoom (MOVIE: multiGIF ~116 Kb)c)
The 2nd zoom (MOVIE: multiGIF ~77 Kb)d)

NB!   All images of this page are gathered in a multipaged PDF-file     (~1.9 Mb)

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