SPRINGER NATURE
- Luis F. Verduzco, Constructability‑based multi‑objective optimization with machine learning‑enhanced meta‑heuristics for reinforcing bar design in rectangular concrete columns, Struct Multidisc Optim. 68(29);2025. https://doi.org/10.1007/s00158-024-03914-8 .
ELSEVIER
- Luis F. Verduzco, Jack C. P. Cheng, Mingkai Li, Lufeng Wang, Constructability-aware Physics-Informed Graph Neural Networks for surrogate-assisted optimization design of rebar in concrete beams, Automation in Construction. 182(106760);2026; ISSN 0926-5805. https://doi.org/10.1016/j.autcon.2026.106760 .
- Luis Fernando Verduzco, Jaime Horta, Miguel A. Pérez Lara y Hernández, Juan Bosco Hernández, CALRECOD — A software for Computed Aided Learning of REinforced COncrete structural Design, Advances in Engineering Software. 172(103189);2022. ISSN 0965-9978. https://doi.org/10.1016/j.advengsoft.2022.103189 .
SCIENCEDOMAIN
- L.F. Verduzco Martínez, J.M.Horta Rangel, Miguel Ángel Pérez Lara y Hernández, Juan Bosco Hernández Zaragoza, Performance-Based Optimization of Reinforced Ductile Concrete Frames with Asymmetric Reinforcement in Columns Using the ISR Analogy, Current Journal Of Applied Science and Technology. 40(21);32-60;2021. 10.9734/cjast/2021/v40i2131469
SCIPEDIA
- L. Verduzco Martínez and J. Horta, The Idealized Smeared Reinforcement (ISR) method for the optimization of concrete sections: a survey of the state-of-the-art and analysis of potential computational approaches, Revista Mexicana de Métodos Numéricos. 2021;5(1). https://www.scipedia.com/public/Verduzco_Martinez_2021a