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In multi-objective optimization, the non-dominant solution sort is used instead of the current weight to sort the fitness value of the solution.It can be added to the get_sorted_population() method in the base class optimizer.
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Sorry for the late reply. Solving the single objective (SOO) and multi-objective optimization (MOO) are extremely different. Of course you can technically convert MOO problem to SOO using method like weighting. However, in developer perspective, it is hard to keep those separate and clean. Because MOO has many techniques and methods compare to SOO. That is why I am start building a specialized framework for MOO problem. You can check it here: https://github.com/thieu1995/MetaMoo
Description
In multi-objective optimization, the non-dominant solution sort is used instead of the current weight to sort the fitness value of the solution.It can be added to the get_sorted_population() method in the base class optimizer.
Additional Information
No response
The text was updated successfully, but these errors were encountered: