Recommend-then-Verify Multi-Fidelity Bayesian Optimization for Code-Constrained Steel Frame Sizing
Supplemental Materials for the manuscript “Recommend-then-Verify Multi-Fidelity Bayesian Optimization for Code-Constrained Steel Frame Sizing,” submitted to the Journal of Computing in Civil Engineering (ASCE). The file contains Figs. S1–S4, Tables S1–S2, the definition of the cost-aware entropy search criterion, and the protocol and results of the low-fidelity degradation study.
Authors
- Supasit Pongsivasathit (ORCID: https://orcid.org/0000-0001-5027-4331)
- Boonchai Phungpaingam (ORCID: https://orcid.org/0000-0002-5603-8345)
- Kamtornkiat Musiket (ORCID: https://orcid.org/0000-0002-4794-5824)
- Yodchai Seephandorn (ORCID: https://orcid.org/0009-0003-8770-1271)
- Kai Li
Institutions
- Rajamangala University of Technology (TH)
- Suihua University (CN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-06
- DOI
- https://doi.org/10.5281/zenodo.23999983
- Primary Topic
- Advanced Multi-Objective Optimization Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00