maximization with NSGA III

[harsha3080]

Is there any possible way using NSGA III for 3 objectives problem with 2 objectives are minimized and the one should be maximized?

[dhadka]

Yes, this should be possible by setting the directions:

problem.directions[0] = Problem.MINIMIZE
problem.directions[1] = Problem.MINIMIZE
problem.directions[2] = Problem.MAXIMIZE

[harsha3080]

Hi...Thanks for the reply but it says as it is shown in the attached figure.

[dhadka]

Oh, lol...thanks for pointing that out :) I don't remember why I didn't add support for maximizing...

Alternatively, you can negate the objective value instead. Maximizing objective f(x) is the same as minimizing -f(x).

[harsha3080]

Yeah....thanks dhadka. Let me try that....i am just comparing nsga 2 and nsga 3 for an engineering problem with 3 objectives. Nsga 2 is giving distributed results while nsga 3 is sticking to the small part. Anyway...thanks for the wonderful library.

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