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multi objective optimization - metric of quality #252

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MichaelRara opened this issue Nov 20, 2023 · 1 comment

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MichaelRara commented Nov 20, 2023

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

ahmedfgad added the question label

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ahmedfgad commented Jan 27, 2024

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.

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