An efficient LightGBM-based differential evolution method for nonlinear inelastic truss optimization

Viet-Hung Truong

doi:10.1016/j.eswa.2023.121530

2024-03-01

PRE

Viet-Hung Truong

Sawekchai Tangaramvong *

George Papazafeiropoulos

DOI：10.1016/j.eswa.2023.121530

原文链接

摘要

En 中文

A metaheuristic-based structural optimization method, whilst being popularly adopted due to its advantages in by-passing gradient function calculations, requires the use of time-consuming advanced analyses for constraint evaluation. To overcome this drawback, the present paper proposes a robust (machine learning-based) optimization method that combines the light gradient boosting machine (LightGBM) with the efficient p-best differential evolution (EpDE) method. In essence, the LightGBM classification model is constructed to assess the constraint (safety and integrity) satisfaction of structures. An efficient framework using a so-called safety parameter is proposed to prevent inaccurate predictions of the LightGBM model. The EpDE processes the optimization procedures on the constructed classification LightGBM model. This enables an enhanced machine learning-based optimization technique that not only maintains the sufficiently accurate optimal design of structures but also significantly reduces the required computing efforts, as compared to standard optimization schemes. Various examples of steel structure designs (i.e., two of which have been provided herein) have been successfully performed by the proposed approach. These illustrate the accuracy and robustness of the proposed method, where good comparisons with reference algorithms (including standard DE with DE/rand/1 mutational strategy, Jaya, Rao-1 and CaDE) are evidenced. The statistical values collected present the accuracy and reliability of the proposed method in obtaining the minimum total weight designs with substantial (some 60%) reduction of computing efforts required to furnish optimal results.

Keyword:

Structural optimization

Machine learning

Deep learning

Inelastic structures

Light gradient boosting machine

Differential evolution