The Use of a Genetic Algorithm i n Modeling t he Electrophysical Properties of a Layered Nanocomposite
The research proposes an approach to solving the problem of selecting layered nanocomposite componentswith given electrical properties. The known methods for modeling the nanocomposites electrical characteristicsare based on a preliminary analysis of such characteristics as the dielectric constant and electrical conductivityof the materials that make up a nanocomposite. The study proposes an algorithm for the selection ofcomponents of a layered nanocomposite using a genetic algorithm. Mathematical modeling of nanocompositeelectrical properties is carried out using an effective medium model. We consider composite materials basedon nanoporous silicon and partially oxidized porous silicon as an example. We have analyzed the frequencydependences of the dielectric constant and nanocomposite electrical conductivity when interacting withelectromagnetic radiation. We have also studied efﬁciency of the proposed method depending on the rate ofconvergence and various p arameters (mutation coefﬁcient, po pul ation size, etc.). We developed a softwarepackage for modeling the electrical properties of a nanocomposite using a genetic algorithm. The results ofthe research can reduce the time and cost of creating new functional materials.