генетический алгоритм

The Use of a Genetic Algorithm in Modeling the Electrophysical Properties of a Layered Nanocomposite

Authors: Kim R. P., Romanchuk S. P., Terin D. V., Korchagin S. A.

The research proposes an approach to solving the problem of selecting layered nanocomposite components with given electrical properties. The known methods for modeling the nanocomposites electrical characteristics are based on a preliminary analysis of such characteristics as the dielectric constant and electrical conductivity of the materials that make up a nanocomposite. The study proposes an algorithm for the selection of components of a layered nanocomposite using a genetic algorithm.

The Application of a Genetic Algorithm to Global Optimization Problem Solving on Parallel and Distributed Computing Systems

Authors: Savin A. N., Druzhinin I. V., Eroftiev A. A.

This article presents the results of the adaptation of method of searching the global minimum of multiextremal criterion function of multiple variables with constraints based on genetic algorithm for parallel and distributed computing systems. Two variants of genetic algorithm parallelization are proposed. The reliability and performance of parallel versions of an algorithm, depending on its parameters and the number of nodes in parallel computer system is investigated.

Heuristic algorithm for the cardinality constrained portfolio optimization problem

Authors: Khomchenko A. A., Lucas C., Mironov S. V., Sidorov S. P.

 In the paper we consider the cardinality constrained portfolio optimization problem. Constraint on the number of assets in portfolio leads to the mixed integer optimization problem. Effective frontier is constructed using the metaheuristic approach by genetic algorithm.