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. -- You received this message because you are subscribed to the Google Groups "sage-edu" group. To post to this group, send email to [email protected]. To unsubscribe from this group, send email to [email protected]. For more options, visit this group at http://groups.google.com/group/sage-edu?hl=en.
