---
layout: page
title: References
permalink: /citation
--- 


## Cite us

When using IOHprofiler and parts thereof, please kindly cite the following works as

Carola Doerr, Hao Wang, Furong Ye, Sander van Rijn, Thomas Bäck: _IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics_, arXiv e-prints:1810.05281, 2018.

```bibtex
@ARTICLE{IOHprofiler,
  author = {Carola Doerr and Hao Wang and Furong Ye and Sander van Rijn and Thomas B{\"a}ck},
  title = {IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics},
  journal = {arXiv e-prints:1810.05281},
  archivePrefix = {arXiv},
  eprint = {1810.05281},
  year = {2018},
  month = {oct},
  keywords = {Computer Science - Neural and Evolutionary Computing},
  url = {https://arxiv.org/abs/1810.05281}
}
```

Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck: _IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics_, ACM Transactions on Evolutionary Learning and Optimization, 2022.
```bibtex
@article{IOHanalyzer,
author = {Hao Wang and Diederick Vermetten and Furong Ye and Carola Doerr and Thomas B\"{a}ck},
title = {IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics},
journal = {ACM Transactions on Evolutionary Learning and Optimization},
year = {2022},
publisher = {ACM},
volume = {2},
number = {1},
month = {apr},
numpages = {29},
keywords = {performance analysis, evolutionary computation, black-box optimization}
url = {https://doi.org/10.1145/3510426}
} 
```

Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas B{\"{a}}ck: _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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## <a name="work-using-IOHprofiler"></a>Collection of works using __IOHprofiler__

### Journal Papers

* Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, and Thomas Bäck. <i>Benchmarking Discrete Optimization Heuristics with IOHprofiler.</i> Applied Soft Computing, accepted subject to minor revision.

### Conference papers

* Ye, Furong, Carola Doerr, and Thomas Bäck. <i>Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation.</i> In 2019 IEEE Congress on Evolutionary Computation (CEC), pp. 2292-2299. IEEE, 2019.
* Carola Doerr, Furong Ye, Sander van Rijn, Hao Wang, Thomas Bäck. <i>Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1 + λ) EA variants on OneMax and LeadingOnes</i>. GECCO’18
* Naama Horesh, Thomas Bäck, Ofer M. Shir. <i>Predict or Screen Your Expensive Assay? DoE vs. Surrogates in Experimental Combinatorial Optimization</i>. GECCO’19
* Nguyen Dang, Carola Doerr. <i>Hyper-Parameter Tuning for the (1+(λ, λ)) GA</i>. GECCO’19

### Workshop papers

* Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, and Thomas Bäck. <i>Benchmarking Discrete Optimization Heuristics with IOHprofiler</i>. GECCO '19
* Borja Calvo, Ofer M. Shir, Josu Ceberio, Carola Doerr, Hao Wang, Thomas Bäck, and Jose A. Lozano. <i>Bayesian Performance Analysis for Black-Box Optimization Benchmarking</i>. GECCO '19
* Ivan Ignashov, Arina Buzdalova, Maxim Buzdalov, and Carola Doerr. <i>Illustrating the Trade-Off between Time, Quality, and Success Probability in Heuristic Search</i>. GECCO '19
* Nathan Buskulic and Carola Doerr. <i>Maximizing Drift is Not Optimal for Solving OneMax</i>. GECCO '19 -->