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Infortunately, NOMAD.jl is based on the software NOMAD 4, which does not implement a biobjective optimization algorithm. You have to use the C++ version of NOMAD 3.9 to have this functionality.
Well, you can always create a resulting objective that is a linear combination of any number of objectives with different weights. I think this will just work. By changing the weights you get the Pareto front...
Not really, with this type of approach, you could miss non-convex parts of the Pareto front. You could reimplement the BiMADS algorithm given in this paper
MULTIOBJECTIVE OPTIMIZATION THROUGH A SERIES OF SINGLE-OBJECTIVE FORMULATIONS
or if you need more objectives the MultiMADS algorithm
A mesh adaptive direct search algorithm for multiobjective optimization
If you have enough patience, note that we are planning to upgrade NOMAD.jl, to make use of a new multiobjective algorithm, DMulti-MADS, implemented in NOMAD 4 but still in beta testing for the moment.
In the user guide of NOMAD they said that NOMAD will be able to handle biobjective function also. Is it possible in our NOMAD.jl also?
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