Pareto Frontier generation for multi-objective prob. using openMDAO 1.x? -

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i new openmdao framework , using 1.5.0 version. i'm interested in generating pareto front zitzler–deb–thiele's functions using same.

i found solution legacy version here uses 'pareto_filter' unable locate same in new version. so, how set multi-objective problem generate pareto front in 1.x version?

thanks all.

you should able nsga2 pyopt-sparse directly in openmdao. install pyopt-sparse package , openmdao has driver built in let use it. pick nsga2 optimizer.

the issue that, if @ source, driver labeled single-objective. should change line true, can specify multiple objectives.

we haven't tested nsga2 via pyopt-sparse. might take little bit of hacking around work. if you'd prefer regular pyopt package, should able start our current pyopt-sparse wrapper , make small changes work.


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