title: Definition of an energy function for the random neural to solve optimization problems.
abstract: In this paper, we propose a general energy function for a new neural model, the random neural model of Gelenbe. This model proposes a scheme of interaction between the neurons and not a dynamic equation of the system. We then apply this general energy function on different optimization problems: the graph partitionning problem and the minimum node covering problem.
authors.affiliation: Departmento de Computación, Facultad de Ingenieri;a, Universidad de los Andes, Mérida, Venezuela
authors.forename: Aguilar
authors.initials: A
authors.lastname: Jose