Enhancing Parameter Control Policies with State Information
Parameter control and dynamic algorithm configuration study how to dynamically choose suitable configurations of a parametrized algorithm during the optimization process. Despite being an intensively researched topic in evolutionary computation, optimal control policies are known only for very few cases, limiting the development of automated approaches to achieve them.
Authors
- Carola Doerr (ORCID: https://orcid.org/0000-0002-4981-3227)
- Denis Antipov (ORCID: https://orcid.org/0000-0001-7906-096X)
- Gianluca Covini
Institutions
- Centre National de la Recherche Scientifique (FR)
- Université Paris Cité (FR)
- University of Pavia (IT)
- Sorbonne Université (FR)
- LIP6 (FR)
Publication Details
- Published
- 2025-08-19
- DOI
- https://doi.org/10.1145/3729878.3746633
- Primary Topic
- Advanced Control Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Agence Nationale de la Recherche
- Sorbonne Université