Comments (2)
gnannicini
commented on June 28, 2024
Adhe,
it does not support constraints. If there are few constraints, you could try penalizing them in the objective function. This only works if a large part of the box domain is feasible, though.
There aren't many black-box optimization codes that support arbitrary constraints. If that's what you need, perhaps you could have a look at Nomad.
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adhe-k
commented on June 28, 2024
Yes, I need MINLP solver in python which handle black-box functions.
I have looked at Nomad, but can't find the python version.
Anyway, thanks for your answer.
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Related Issues (20)
- Cannot import after pip install HOT 1
- NameError: global name 'sys' is not defined HOT 3
- Error: "retrieving immutable Param value..." when calling .optimize() HOT 1
- sample_size not being casted to integer HOT 1
- No attribute RbfoptBlackBox HOT 1
- Refactor RbfoptAlgorithm the way to make it possible to a library user drive the get_point-evaluate_point-update_model loop himself HOT 2
- Input initial guess of the parameters HOT 1
- import rbfopt causes Excel to close HOT 3
- Problem with restarting pool while running optimize_parallel HOT 1
- Is there a way to skip an output value? HOT 4
- Is there a way to exstract the rbf surrogate model? HOT 1
- Problem using optimize_parallel (idle/freeze after a few seconds) HOT 11
- Addition of kwargs to RbfoptUserBlackBox
- Add optional arguments to UserBlackBox function HOT 2
- TypeError at end of iterations HOT 2
- UnicodeDecodeError: 'charmap' codec can't decode byte 0x81 in position 81: character maps to <undefined> HOT 5
- Unexpected error: "IndexError: index 160 is out of bounds for axis 0 with size 158" HOT 7
- Tests never finish, stuck on "Solving hartman6 with random seed 512319876" HOT 13
- The complexity of the rbfopt algorithm HOT 1
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