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The many-objective optimization feature seems promising. It would be more promising to add efficiency features that start easily from parallelization like in pymoo. Pymoo is currently too slow to keep up with the state-of-art, even though they market as it. I need those features in my use case because the accuracy & efficiency of the current mixed-variable many-objective optimization in Pymoo still lacking.
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Context: https://github.com/huawei-noah/HEBO/tree/master/MCBO
The many-objective optimization feature seems promising. It would be more promising to add efficiency features that start easily from parallelization like in pymoo. Pymoo is currently too slow to keep up with the state-of-art, even though they market as it. I need those features in my use case because the accuracy & efficiency of the current mixed-variable many-objective optimization in Pymoo still lacking.
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