# IOHexperimenter



**Experimenter** for **I**terative **O**ptimization **H**euristics (IOHs), built in* `C++`.
* **Documentation**: [https://iohprofiler.github.io/IOHexperimenter](https://iohprofiler.github.io/IOHexperimenter).
* **Publication**: [https://arxiv.org/abs/1810.05281](https://arxiv.org/abs/1810.05281).
* **Wiki page**: [https://iohprofiler.github.io](https://iohprofiler.github.io/).
**IOHexperimenter** *provides*:
* A framework to ease the benchmarking of any iterative optimization heuristic.
* [Pseudo-Boolean Optimization (PBO)](https://iohprofiler.github.io/IOHproblem/) problem set (25 pseudo-Boolean problems).
* Integration of the well-known [Black-black Optimization Benchmarking (BBOB)](https://github.com/numbbo/coco) problem set (24 continuous problems).
* [W-model](https://dl.acm.org/doi/abs/10.1145/3205651.3208240?casa_token=S4U_Pi9f6MwAAAAA:U9ztNTPwmupT8K3GamWZfBL7-8fqjxPtr_kprv51vdwA-REsp0EyOFGa99BtbANb0XbqyrVg795hIw) problem sets constructed on OneMax and LeadingOnes.
* Integration of the [Tree Decomposition (TD) Mk Landscapes](https://github.com/tobiasvandriessel/problem-generator) problems.
* Submodular optimization problems, as seen in the [GECCO '22 workshop](https://cs.adelaide.edu.au/~optlog/CompetitionESO2022.php).
* Several benchmark suites from the CEC conference.
* Flexible interface for adding new suites and problems.
* Advanced logging module that takes care of registering the data in a seamless manner.
* Data format is compatible with [IOHanalyzer](https://github.com/IOHprofiler/IOHanalyzer).
* Dynamic BinVal functions ([paper](https://link.springer.com/article/10.1007/s42979-022-01203-z))
* Double funnel functions ([paper](https://link.springer.com/chapter/10.1007/978-3-540-87700-4_50))
**Available Problem Suites:**
* BBOB (Single Objective Noiseless) (COCO)
* SBOX-COST (COCO)
* StarDiscrepancy
* PBO
* Submodular Graph Problems
* CEC 2013 Special Session and Competition on Niching Methods for Multimodal Function Optimization
* CEC 2022 Special Session and Competition on Single Objective Bound Constrained Numerical Optimization
## C++
The complete API documentation, can be found [here](https://iohprofiler.github.io/IOHexperimenter/cpp), as well as a Getting-Started guide. In addition to the documentation, some example projects can be found in the [example](https://github.com/IOHprofiler/IOHexperimenter/tree/master/example/) folder of this repository.
## Python
The pip-version of IOHexperimenters python interface is available via [pip](https://pypi.org/project/ioh). A tutorial with python in the form of a jupyter notebook can be found in the example folder of [this repository](https://github.com/IOHprofiler/IOHexperimenter/tree/master/example/tutorial.ipynb).
A Getting-Started guide and the full API documentation can be found [here](https://iohprofiler.github.io/IOHexperimenter/python).
## Contact
If you have any questions, comments or suggestions, please don't hesitate contacting us <IOHprofiler@liacs.leidenuniv.nl>.
### Our team
* [Jacob de Nobel](https://www.universiteitleiden.nl/en/staffmembers/jacob-de-nobel), *Leiden Institute of Advanced Computer Science*,
* [Furong Ye](https://www.universiteitleiden.nl/en/staffmembers/furong-ye#tab-1), *Leiden Institute of Advanced Computer Science*,
* [Diederick Vermetten](https://www.universiteitleiden.nl/en/staffmembers/diederick-vermetten#tab-1), *Leiden Institute of Advanced Computer Science*,
* [Hao Wang](https://www.universiteitleiden.nl/en/staffmembers/hao-wang#tab-1), *Leiden Institute of Advanced Computer Science*,
* [Carola Doerr](http://www-desir.lip6.fr/~doerr/), *CNRS and Sorbonne University*,
* [Thomas Bäck](https://www.universiteitleiden.nl/en/staffmembers/thomas-back#tab-1), *Leiden Institute of Advanced Computer Science*,
When using IOHprofiler and parts thereof, please kindly cite this work as
Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr and Thomas Bäck,
*IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics*, arXiv e-prints:2111.04077, 2021.
```bibtex
@ARTICLE{IOHexperimenter,
author = {Jacob de Nobel and
Furong Ye and
Diederick Vermetten and
Hao Wang and
Carola Doerr and
Thomas B{\"{a}}ck},
title = {{IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics}},
journal = {arXiv e-prints:2111.04077},
archivePrefix = "arXiv",
eprint = {2111.04077},
year = 2021,
month = Nov,
keywords = {Computer Science - Neural and Evolutionary Computing},
url = {https://arxiv.org/abs/2111.04077}
}
```
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"description": "# IOHexperimenter\n\n\n\n\n\n**Experimenter** for **I**terative **O**ptimization **H**euristics (IOHs), built in* `C++`.\n\n* **Documentation**: [https://iohprofiler.github.io/IOHexperimenter](https://iohprofiler.github.io/IOHexperimenter).\n* **Publication**: [https://arxiv.org/abs/1810.05281](https://arxiv.org/abs/1810.05281).\n* **Wiki page**: [https://iohprofiler.github.io](https://iohprofiler.github.io/).\n\n**IOHexperimenter** *provides*:\n\n* A framework to ease the benchmarking of any iterative optimization heuristic.\n* [Pseudo-Boolean Optimization (PBO)](https://iohprofiler.github.io/IOHproblem/) problem set (25 pseudo-Boolean problems).\n* Integration of the well-known [Black-black Optimization Benchmarking (BBOB)](https://github.com/numbbo/coco) problem set (24 continuous problems).\n* [W-model](https://dl.acm.org/doi/abs/10.1145/3205651.3208240?casa_token=S4U_Pi9f6MwAAAAA:U9ztNTPwmupT8K3GamWZfBL7-8fqjxPtr_kprv51vdwA-REsp0EyOFGa99BtbANb0XbqyrVg795hIw) problem sets constructed on OneMax and LeadingOnes.\n* Integration of the [Tree Decomposition (TD) Mk Landscapes](https://github.com/tobiasvandriessel/problem-generator) problems.\n* Submodular optimization problems, as seen in the [GECCO '22 workshop](https://cs.adelaide.edu.au/~optlog/CompetitionESO2022.php).\n* Several benchmark suites from the CEC conference.\n* Flexible interface for adding new suites and problems.\n* Advanced logging module that takes care of registering the data in a seamless manner.\n* Data format is compatible with [IOHanalyzer](https://github.com/IOHprofiler/IOHanalyzer).\n* Dynamic BinVal functions ([paper](https://link.springer.com/article/10.1007/s42979-022-01203-z))\n* Double funnel functions ([paper](https://link.springer.com/chapter/10.1007/978-3-540-87700-4_50))\n\n\n**Available Problem Suites:**\n\n* BBOB (Single Objective Noiseless) (COCO)\n* SBOX-COST (COCO)\n* StarDiscrepancy\n* PBO\n* Submodular Graph Problems\n* CEC 2013 Special Session and Competition on Niching Methods for Multimodal Function Optimization\n* CEC 2022 Special Session and Competition on Single Objective Bound Constrained Numerical Optimization\n\n## C++\n\nThe complete API documentation, can be found [here](https://iohprofiler.github.io/IOHexperimenter/cpp), as well as a Getting-Started guide. In addition to the documentation, some example projects can be found in the [example](https://github.com/IOHprofiler/IOHexperimenter/tree/master/example/) folder of this repository.\n\n## Python\n\nThe pip-version of IOHexperimenters python interface is available via [pip](https://pypi.org/project/ioh). A tutorial with python in the form of a jupyter notebook can be found in the example folder of [this repository](https://github.com/IOHprofiler/IOHexperimenter/tree/master/example/tutorial.ipynb).\nA Getting-Started guide and the full API documentation can be found [here](https://iohprofiler.github.io/IOHexperimenter/python).\n\n## Contact\n\nIf you have any questions, comments or suggestions, please don't hesitate contacting us <IOHprofiler@liacs.leidenuniv.nl>.\n\n### Our team\n\n* [Jacob de Nobel](https://www.universiteitleiden.nl/en/staffmembers/jacob-de-nobel), *Leiden Institute of Advanced Computer Science*,\n* [Furong Ye](https://www.universiteitleiden.nl/en/staffmembers/furong-ye#tab-1), *Leiden Institute of Advanced Computer Science*,\n* [Diederick Vermetten](https://www.universiteitleiden.nl/en/staffmembers/diederick-vermetten#tab-1), *Leiden Institute of Advanced Computer Science*,\n* [Hao Wang](https://www.universiteitleiden.nl/en/staffmembers/hao-wang#tab-1), *Leiden Institute of Advanced Computer Science*,\n* [Carola Doerr](http://www-desir.lip6.fr/~doerr/), *CNRS and Sorbonne University*,\n* [Thomas B\u00e4ck](https://www.universiteitleiden.nl/en/staffmembers/thomas-back#tab-1), *Leiden Institute of Advanced Computer Science*,\n\nWhen using IOHprofiler and parts thereof, please kindly cite this work as\n\nJacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr and Thomas B\u00e4ck,\n*IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics*, arXiv e-prints:2111.04077, 2021.\n\n```bibtex\n@ARTICLE{IOHexperimenter,\n author = {Jacob de Nobel and\n Furong Ye and\n Diederick Vermetten and\n Hao Wang and\n Carola Doerr and\n Thomas B{\\\"{a}}ck},\n title = {{IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics}},\n journal = {arXiv e-prints:2111.04077},\n archivePrefix = \"arXiv\",\n eprint = {2111.04077},\n year = 2021,\n month = Nov,\n keywords = {Computer Science - Neural and Evolutionary Computing},\n url = {https://arxiv.org/abs/2111.04077}\n}\n```\n",
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