title: Genetic algorithm for the pair distribution function of the electron gas.
abstract: The pair distribution function of the electron gas is calculated using a parameterized generalization of hypernetted chain approximation with the parameters being obtained by optimizing the system energy with a genetic algorithm. The functions so obtained are compared with Monte Carlo simulations performed by other authors in its variational and di_usion versions showing a very good agreement especially with the di_usion Monte Carlo results.
authors.affiliation: Grupo de Aplicaciones Matemáticas, Universidad Nacional de La Plata, La Plata, Argentina. vericat@iflysib.unlp.edu.ar
authors.forename: Fernando
authors.initials: F
authors.lastname: Vericat
authors.forename: César O
authors.initials: CO
authors.lastname: Stoico
authors.forename: C Manuel
authors.initials: CM
authors.lastname: Carlevaro
authors.forename: Danilo G
authors.initials: DG
authors.lastname: Renzi
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D004583:Electrons; D005740:Gases; D055641:Mathematical Concepts; D009010:Monte Carlo Method
chemical_list: D005740:Gases