Greybox Algorithm Configuration

Anastacio, Marie

doi:10.24963/ijcai.2021/669

Greybox Algorithm Configuration

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Doctoral Consortium. Pages 4875-4876.

https://doi.org/10.24963/ijcai.2021/669

Keywords

Heuristic Search and Game Playing: Heuristic Search and Machine Learning
Heuristic Search and Game Playing: Combinatorial Search and Optimisation

Abstract

The performance of state-of-the-art algorithms is highly dependent on their parameter values, and choosing the right configuration can make the difference between solving a problem in a few minutes or hours. Automated algorithm configurators have shown their efficiency on a wide range of applications. However, they still encounter limitations when confronted to a large number of parameters to tune or long algorithm running time.

We believe that there is untapped knowledge that can be gathered from the elements of the configuration problem, such as the default value in the configuration space, the source code of the algorithm, and the distribution of the problem instances at hand. We aim at utilising this knowledge to improve algorithm configurators.

Marie Anastacio. 2021. Greybox Algorithm Configuration. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 4875–4876. https://doi.org/10.24963/ijcai.2021/669

@inproceedings{ijcai2021p669,
  title     = {Greybox Algorithm Configuration},
  author    = {Anastacio, Marie},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Prof. Zhi-Hua Zhou},
  pages     = {4875--4876},
  year      = {2021},
  month     = {8},
  note      = {Doctoral Consortium},
  doi       = {10.24963/ijcai.2021/669},
  url       = {https://doi.org/10.24963/ijcai.2021/669},
}

TY  - CPAPER
TI  - Greybox Algorithm Configuration
AU  - Anastacio, Marie
T2  - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2021
SP  - 4875
EP  - 4876
DO  - 10.24963/ijcai.2021/669
UR  - https://doi.org/10.24963/ijcai.2021/669
ER  -