Work

Recommend-then-Verify Multi-Fidelity Bayesian Optimization for Code-Constrained Steel Frame Sizing

Year: 2026

Type: article

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23999983

Authors: Seephandorn, Yodchai, Musiket, Kamtornkiat, Phungpaingam, Boonchai, Pongsivasathit, Supasit, Li, Kai

Institutions: Rajamangala University of Technology, Suihua University

Language: English

Topic: Advanced Multi-Objective Optimization Algorithms

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W7225395869