RGA - algorithm for black box global optimization

Fig.2.  RGA  in a fully automatic mode, with automatic  zooming  and autotermination.
           The OF  is  quite the same as before ( see the first  example).
a)  the true  OF  with global minimum -0.9953 at  the point (0.555, 0.665): grid 201x201;
b)  the first movie is composed with 8 sequential tries in  [ 0.:1. ] x [ 0.:1.],
c)  the second  movie represents  the first  zoom,
d)  the final plot shows the second zoom right before RGA -autotermination.

The global minimum was detected at the point  (0.5562, 0.6624) with the value -0.9948.
Note, that  RGA  found this value, in fact, while the  eighth try,  but 'was not  quite sure':  a  relevant criterion for  quality of prediction had not been yet met.
Objective function (~37 Kb) a)
Approximation in the entire domain (MOVIE: multiGIF ~230 Kb) b)
The 1st zoom (MOVIE: multiGIF ~90 Kb) c)
The final zoom (~34 Kb) d)

* the images are gathered also into the multipaged PDF-file   (~890 Kb)


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