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. >
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