MINLP for regularized symbolic regression with applications to data-driven discovery of physical laws
- Georgia Institute of Technology
- NETL Site Support Contractor, National Energy Technology Laboratory
The slides summarize recent advances in symbolic regression developed as part of the PrOMMiS project over the past year. It describes the use of various regularization metrics in the context of symbolic regression, and it includes computational experiments performed to build simple and accurate symbolic regression models.
- Research Organization:
- National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
- Sponsoring Organization:
- USDOE Office of Fossil Energy and Carbon Management (FECM); USDOE Office of Fossil Energy and Carbon Management (FECM), Office of Resource Sustainability (FE-30)
- DOE Contract Number:
- ;
- OSTI ID:
- 3028332
- Resource Type:
- Conference presentation
- Conference Information:
- Conference Name: 2026 INFORMS Optimization Society Conference Location: Atlanta, GA, United States Start Date: 3/20/2026 12:00:00 AM End Date: 3/22/2026 12:00:00 AM
- Country of Publication:
- United States
- Language:
- English
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