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multi objective optimization - metric of quality
Hi, what metric is used to decide what solution in multi objective optimization is better? How do you compare them? https://pygad.readthedocs.io/en/latest/pygad_more.html#multi-objective-optimization
Hi @MichaelRara,
For multi-objective optimization, there are 2 special parent selectors:
nsga2: This selects the parents based on non-dominated sorting and crowding distance.tournament_nsga2: This selects the parents using tournament selection which uses non-dominated sorting and crowding distance to rank the solutions.
So, simply the metrics are non-dominated sorting and crowding distance.