From Darwin to Sommerfeld: Genetic algorithms and the electron gas

Abstract

In return for the long-standing contributions of Physics to Biology, now the inverse way is frequently traveled through in order to think about many physics phenomena. In this vein, evolutionary algorithms, particularly genetic algorithms, are being more and more used as a tool to deal with several Physics problems. Here, we show how to apply a genetic algorithm to describe the homogeneous electron gas.