GHOLIZADEH ARAT BANI, Mahdi. Revisiting Classical Neural Architectures for Surrogate-Assisted Optimization of Space Trusses: Balancing Prediction Accuracy and Computational Efficiency. International Journal of Researches on Civil Engineering with Artificial Intelligence , [S. l.], v. 2, n. 3, p. 139–145, 2025. DOI: 10.48314/ijrceai.v2i3.51. Disponível em: https://ceai.reapress.com/journal/article/view/51.. Acesso em: 6 jul. 2026.