Genetic Algorithms Optimized Fuzzy Logic Control to Support the Generation of Lightning Warnings

This paper presents a new method using Fuzzy Logic for generating lightning warnings. This methodology uses information about the atmospheric electric field, the lightning dynamics around the interest site, and lightning distance information. This information was combined by Fuzzy Logic which had its membership functions optimized by Genetic Algorithms. In addition, the objective function was composed by multiple performance indicators proposed in this work. The proposed methodology was tested in a case study, generating lightning warning for an oil refinery. The results were compared with other methods and it was concluded that this new method shows up to be the most effective in generating lightning warnings.