2026-06-092026-06-092025SILVA, Carlos Leandro Borges da et al. Methodology for optimizing electrical grounding grids in stratified soils using advanced calculation techniques and evolutionary algorithms. Swarm and Evolutionary Computation, Amsterdam, v. 95, e101953, 2025. DOI: 10.1016/j.swevo.2025.101953. Disponível em: https://www.sciencedirect.com/science/article/pii/S2210650225001117. Acesso em: 8 jun. 2026.2210-6502https://repositorio.bc.ufg.br//handle/ri/30636This paper presents a practical methodology for optimizing the geometry of electrical grounding grids at industrial frequencies of 50 Hz and 60 Hz, integrating advanced calculation techniques and evolutionary algorithms to improve the safety and operational performance of electrical grounding systems. The proposed approach is particularly beneficial for industrial automation and control systems, where effective grounding is necessary to maintain system reliability and prevent downtime. This methodology employs mathematical modeling and computational tools to optimize grid parameters, ensuring compliance with safety standards while reducing operational costs, thus contributing to the overall efficiency of automated systems in industrial environments. The study reports a reduction of up to 66% in the number of vertical rods and 40% in horizontal conductors compared to traditional methods. These results indicate that the proposed methodology can significantly reduce material usage and costs while maintaining electrical safety in accordance with regulatory standards, making it applicable to a wide range of industrial settings, including substations and automated facilities.engAcesso Abertohttp://creativecommons.org/licenses/by-nc-nd/4.0/Evolutionary algorithmsOptimization of electrical groundingSystem modelingResilient infrastructureIndustrial automation systemsMethodology for optimizing electrical grounding grids in stratified soils using advanced calculation techniques and evolutionary algorithmsArtigo10.1016/j.swevo.2025.101959 - Industria, inovação e infraestrutura