Proximal-exploration multi-objective Bayesian optimization for inverse identification of cyclic constitutive law of structural steels
Despite its importance in seismic response analysis, solving an inverse problem to identify
the cyclic elastoplastic parameters for structural steels using conventional optimization …
the cyclic elastoplastic parameters for structural steels using conventional optimization …
A rcGAN-based surrogate model for nonlinear seismic response analysis and optimization of steel frames
J Liu, L Duan, Y Jiang, L Zhao, J Zhao - Engineering Structures, 2025 - Elsevier
The combination of the surrogate model and optimization algorithm to solve structural
optimization problems is an efficient way to lower computational costs and reduce time …
optimization problems is an efficient way to lower computational costs and reduce time …
Optimization of scheduling and control for a combined cooling, heating, and power microgrid system based on GDMOPSO
G Li, Q Wang, Z Jing, Z Chen… - International Journal of …, 2024 - academic.oup.com
This research presents an innovative approach called Gaussian Distribution Mutation and
Dynamic Adaptive Parameter Change Particle Swarm Optimization (GDMOPSO), which is a …
Dynamic Adaptive Parameter Change Particle Swarm Optimization (GDMOPSO), which is a …
[Retracted] Multiobjective Optimization Design of Green Building Energy Consumption Based on Inorganic Thermal Insulation Nanomaterials
Y Yuan, S Li - International Journal of Analytical Chemistry, 2022 - Wiley Online Library
In order to solve the problem that building engineering construction needs to consume a lot
of energy and cause environmental pollution, which will pose a great pressure on urban …
of energy and cause environmental pollution, which will pose a great pressure on urban …
[PDF][PDF] Probabilistic Approaches to Optimization of Steel Structures Considering Uncertainty
KIMB DO - 2023 - repository.kulib.kyoto-u.ac.jp
3.1 Parameters for GA...................................... 39 3.2 Example 1: Material parameter intervals
for the specimen................ 41 3.3 Example 1: Comparison of the identification results …
for the specimen................ 41 3.3 Example 1: Comparison of the identification results …
Hierarchical graph-based machine learning model for optimization of three-dimensional braced steel frame
CHIT KUPWIWAT, K Hayashi… - Available at SSRN …, 2024 - papers.ssrn.com
Abstract [enter Abstract Body] This paper proposes a method for topology optimization of
three-dimensional frames under static seismic loads, aiming to minimize structural cost while …
three-dimensional frames under static seismic loads, aiming to minimize structural cost while …
Optimization of Trusses and Frames using Reinforcement Learning
K Chi-Tathon - 2024 - repository.kulib.kyoto-u.ac.jp
This chapter briefly reviews the basic concepts of ML and RL together with their applications
in structural engineering domains. The dissertation utilizes two RL algorithms including …
in structural engineering domains. The dissertation utilizes two RL algorithms including …