hi,
I'm glad to inform you about new Python solver for multiobjective
optimization (MOP).

Some changes committed to solver interalg made it capable of handling
global nonlinear constrained  multiobjective problem (MOP), see the page
for more details.

>


>

Using interalg you can be 100% sure your result covers whole Pareto front
according to the required tolerances on objective functions.

>


>

Available features include real-time or final graphical output,
possibility of involving parallel calculations, handling both continuous
and discrete variables, export result to xls files.

>


>

Regards, D.

>
_______________________________________________
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion

Reply via email to