Evolution and Optimum Seeking

Examples 423
course, any function or method may bechanged during a run, as well. The batch le that
will be processed should contain the list of input data you would typeinmanually during
a whole session in non-batch mode. OptimA in batch mode suppresses the listing of the
strategies and functions. That reduces the output a lot and makes it better readable.
Atypical batch run looks like:
OptimA -b < bat_file > results
With a \bat file" like:
8
1
100.100
0.98e-6
0.0e+0
5
5
1
1
0.8e-6
0.8e-6
0.111
0.111
y
the le \results" maylooklike:
Method # : 8
Function # : 1
DFPS strategy (Variable metric) applied to function:
Problem 2.1 (Beale):
(1.5-x*(1-y))^2 + (2.25-x*(1-y^2))^2 + (2.625-x*(1-y^3))^2
Dimension of the problem : 2
Maximal computation time in sec. : 100.100000
Accuracy required : 9.8e-07
Expected value of the objective function
at the optimum : 0
Initial values of the variables :
5
5
Initial step lengths :
1
1
Lower bounds of the step lengths :