hi,
I'm glad to inform you about new Python solver for multiobjective
optimization (MOP:
Some changes committed to solver interalg (
http://openopt.org/
interalg) made it capable of handling global nonlinear constrained
multiobjective problem (MOP), see the page
http://openopt.org/MOP 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.