A Cultural Algorithm for the Representation of Mitochondrial Population

Abstract

We propose a novel Cultural Algorithm for the representation of mitochondrial population in mammalian cells as an autonomous culture. While mitochondrial dysfunctions are highly associated with neurodegenerative diseases and related disorders, an alternative theoretical framework is described for the representation of mitochondrial dynamics. A new perspective of bioinspired algorithm is produced, combining the particle-based Brownian dynamics simulation and the combinatorial representation of mitochondrial population in the lattice, involving the optimization problem of ATP production in mammalian cells.