2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/32248Generalized evolutionary algorithm based on Tsallis canonical distribution is proposed. The algorithm uses Tsallis generalized canonical distribution to weigh the configurations for `selection' instead of Gibbs-Boltzmann distribution. Our simulation results show that for an appropriate choice of non-extensive index that is offered by Tsallis statistics, evolutionary algorithms based on this generalization outperform algorithms based on Gibbs-Boltzmann distribution.Submitted to Physical Review E, 5 pages, 6 figuresArtificial Intelligencetext