A robust XGBoost-based multi-objective optimization algorithm for nonlinear truss structures

Authors

  • Manh-Cuong Nguyen Faculty of Civil Engineering, Thuyloi University, 175 Tay Son, Dong Da, Hanoi, Vietnam
  • Manh-Hung Ha Faculty of Building and Industrial Construction, Hanoi University of Civil Engineering, 55 Giai Phong road, Hanoi, Vietnam
  • Ngoc-Thang Nguyen Faculty of Civil Engineering, Thuyloi University, 175 Tay Son, Dong Da, Hanoi, Vietnam https://orcid.org/0009-0005-2807-2721
  • Van-Thuat Dinh Faculty of Building and Industrial Construction, Hanoi University of Civil Engineering, 55 Giai Phong road, Hanoi, Vietnam
  • Viet-Hung Truong Faculty of Civil Engineering, Thuyloi University, 175 Tay Son, Dong Da, Hanoi, Vietnam https://orcid.org/0000-0002-1109-7667

DOI:

https://doi.org/10.31814/stce.huce2025-19(1)-11

Keywords:

multi-objective optimization, inelastic analysis, metaheuristic, XGBoost, MOEA/D, EpDE

Abstract

This paper presents MOEA/D-EpDE XGBoost, a novel multi-objective optimization (MOO) algorithm designed for efficient and accurate design optimization of nonlinear inelastic steel truss structures. The algorithm integrates a gradient boosting machine learning model (XGBoost) with a dynamic resource allocation multi-objective evolutionary algorithm (MOEA/D-DRA) and an improved pbest-based Differential Evolution (EpDE) algorithm. XGBoost serves as a surrogate model for computationally expensive finite element analyses (FEA), significantly reducing computational costs while maintaining solution accuracy. The performance of MOEA/D-EpDE XGBoost is compared against five other established MOO algorithms (NSGA2, SPEA2, GDE3, MOEA/D, and a standard ME algorithm) using a 47-bar powerline truss benchmark problem. Results demonstrate that the proposed algorithm achieves superior convergence, diversity, and computational efficiency compared to existing algorithms, while maintaining solution quality.

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Author Biography

Viet-Hung Truong, Faculty of Civil Engineering, Thuyloi University, 175 Tay Son, Dong Da, Hanoi, Vietnam

Bộ môn Công trình Giao thông, Trường Đại học Thủy Lợi, số 175 Tây Sơn, Đống Đa, Hà Nội

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Published

2025-03-25

How to Cite

Nguyen, M.-C., Ha, M.-H., Nguyen, N.-T., Dinh, V.-T., & Truong, V.-H. (2025). A robust XGBoost-based multi-objective optimization algorithm for nonlinear truss structures. Journal of Science and Technology in Civil Engineering (JSTCE) - HUCE, 19(1), 131–141. https://doi.org/10.31814/stce.huce2025-19(1)-11

Issue

Vol. 19 No. 1 (2025)

Section

Research Papers

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