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# Overview
#228 prototyped a great initial integration with optuna to do hyperparameter optimization. However, it has a couple of downsides:
1. lack of support for tuning multiple environments …
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https://chat.openai.com/share/6680f8f2-b230-436d-ba90-f517b0df1ba1
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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-optimiza…
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Hi @DimaKudosh. Long-time user and appreciate the framework you've built. How hard would it be or is it possible to add multi-objective capabilities to the optimizer? I noticed you added the Mixed-Int…
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Dear repository owner(s),
Will PyGAD support multi-objective optimization capabilities in the future? If not, how should I continue using PyGAD if I would like to transition from a single- to a mul…
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I've been starting to use lexicographic (hierachical) multi-objective optimization a lot more in my own work, and I think it could potentially be useful to formally add this to prioritizr. For example…
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With all the new Multi-Objective Optimization Algorithms coming out, I was wondering if it would be possible to implement one in OpenMC.
This would almost be synonymous with the `search_for_keff` …
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What we are doing here with the adversarial classifier is really a multi-objective optimization problem.
How well do we want to do on the reconstruction task? How well do we want to do at strippin…
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Trying to use this code to accomplish multi-targeting, how should it be modified?
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#### Description
When running multiobjective optimization using multiple workers, running trials are are added to the runhistory with a stand-in cost of MAXINT. If the optimization is then forceful…