Comments (2)
You can not use SBX if you want to solve a binary problem. checkout the tutorial for binary optimization:
https://pymoo.org/customization/binary.html
Does this work for you?
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Hi,
This actually provides for a lot of help in my work. I did not check carefully that example in the tutorial. After performing several tests, this completely solves my issue.
Thanks a lot
Juanlu
from pymoo.
Related Issues (20)
- Hello, can hyperparameter optimization be done for multi-objective problems? HOT 1
- 超参数优化HyperparameterProblem HOT 1
- Optimisation parameters for integer types HOT 1
- Restarting from Checkpoint, multiple runs, always reverts back to first checkpoint.
- The repair is not passed to the mating argument of the MixedVariableGA class HOT 5
- ValueError: negative dimensions are not allowed HOT 1
- Conda package HOT 4
- Concurrency safety parallelisation HOT 2
- Concerns Regarding Initialization of Binary Variables and Support for Custom Initial Population in PyMoo's NSGA2 HOT 1
- using Pymoo for find optimal index of compounds HOT 1
- about MixedVariableProblem,How to generate a matrix of specified shape HOT 1
- Relaunch a simulation if it didn't run HOT 1
- Question: what is the second array returned by pymoo.problems.get_problem('osy') HOT 1
- Invalid progress was set by the TerminationCriterion. HOT 1
- [Feature Request] The proper method for storing optimization result persistently. HOT 6
- How to repair inputs(X) after problem evaluation? HOT 2
- AttributeError: module 'matplotlib.cm' has no attribute 'get_cmap' when using Matplotlib 3.9.0
- Handling crashes in PSO HOT 1
- Parallelization improvement HOT 3
- Bug: Random seed incorrectly set for CMAES optimizer HOT 1
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