Hi there,

I'm using the multi-objective pygad implementation with parent_selection_type='nsga2'. I'm interested in the pareto optimal solutions. I can easily plot and extract the fitness values on the pareto front, but how to I access the solutions that are related to the pareto optimal fitness values. For example, if my pareto front plot looks like this:

Image

how do I index the solutions (genes) that correspond to the pareto fitness values?

Kind regards,
Lise