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If the generation strategy uses MBM with a single objective acquisition function on an MOO problem, the outputs are simply summed together in the acquisition function using a `ScalarizedPosteriorTrans…
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I'm noticing the following convention for `Dataset`:
https://github.com/aspuru-guzik-group/olympus/blob/bbeb991c4c1929474a0b1a4435a5eed566d30542/src/olympus/datasets/dataset.py#L42
(i.e., plural…
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Hello,
I am looking to perform a optimization over a domain with constraints on some of the parameters, but I have had no luck getting the optimizer to obey the constraints in ask-tell mode (works…
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Dear Ax Team,
I am currently trying to run a MOMF use case in the Service API; have been mostly consulting the BoTorch tutorials for this, and so far I have come up with the following repro that se…
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Hello there,
I am learning to use DEAP library to perform multi-objective optimization, I am largely fitting my problem based on the example shown in this [link](https://github.com/lmarti/evolution…
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Similar to constraints, it would be nice to send a list of objectives to optim_acqfs, but which are executed in sequence.
In my use cases, we have a number of (usually multioutput) custom objectives …
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Similarly to `ECP-Candle` and `PINNBench` benchmarks some new benchmarks compatible with Multi-Objective Optimization (MOO) should be defined. They could be "extensions" of the already existing benchm…
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While playing around with multi-objective optimization, I observed the following behavior which seems strange to me. To explain it let me share this simple toy example with you, where the domain is di…
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Competition on Online Data-Driven Multi-Objective Optimization at CEC 2019
H.Wang, C. He, Y. Tian, Y. Jin, Competition on Online Data-driven Multi-objective Optimization (2019). Accessed 15 April 2…