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In this paper, an E. Coli bacterial foraging-based algorithm called TS-MBFOA is implemented to optimize a mathematical model that minimizes a Smart Grid, which is an electrical distribution network combined with modern information technologies which seeks to reduce costs and environmental pollution. In this Smart Grid, renewable energy sources such as wind and solar are used, as well as a conventional generation unit from diesel fuel. TS-MBFOA was implemented and tested in a rst experiment to calibrate the algorithm parameters. In a second experiment, the previously calibrated algorithm was executed 30 times independently to observe its performance. The results found show that

Algoritmo basado en el forrajeo de bacterias para la optimización de un smart grid