Related Issues (20)
- Assign optimum in Python Classes
- STAR discrepancy metadata information
- Star Discrepancy optimum value HOT 2
- [feature request] Easier logging of separate functions with a single logger
- Test and approve the logic and correctness of CEC 2022 functions. HOT 1
- Separate CEC 2022 transformation code from CEC 2022 function code into two different files: `functions/real.hpp` and `transformation.hpp`. HOT 1
- Add doxygen documentation to CEC 2022 functions. HOT 1
- Add a Python binding for `DynamicBinVal`.
- Create a chance to advance the `timestep`. Randomize ordering of weights in `DynamicBinVal`, when `timestep` changes.
- Test and approve the correctness of `DynamicBinVal`.
- Use an environment variable in `inline fs::path get_static_root`.
- Run a `Nevergrad` algorithm on a submodular problem (integrated into IOHexperimenter).
- Change the `DynamicBinVal` to draw component weights from a probability distribution.
- Add a delta for the logging trigger
- segmentation fault when passing trigger in place
- Explicit information in tutorials.
- Difference between `problem.state.optimum_found` in ioh and `problem.final_target_hit` in cocoex (BBOB functions) HOT 2
- Windows: ioh::problem::ProblemRegistry<ioh::problem::CEC>::instance() HOT 1
- Package fails on import HOT 5
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