Please use this identifier to cite or link to this item: https://evnuir.vnu.edu.ua/handle/123456789/14348
Title: Method of Genetic Algorithms for the Optimal Investment Portfolio
Authors: Mekush, Oksana H.
Kuzmych, Olena I.
Solich, Kateryna
Telmoudi, Achraf
Мекуш, Оксана Григорівна
Кузьмич, Олена Іванівна
Соліч, Катерина
Телмоуді, Ачраф
Bibliographic description (Ukraine): Kuzmych O. Method of Genetic Algorithms for the Optimal Investment Portfolio / O. Kuzmych, O. Mekush, K. Solich and A. Telmoudi // 5th International Conference on Control, Decision and Information Technologies (CoDIT) . - 2018. - P. 683- 687
Issue Date: 2018
Date of entry: 17-Jul-2018
Publisher: IEEE
DOI: https://doi.org/10.1109/CoDIT.2018.8394862
Keywords: Genetic Algorithms
Optimal Investment Portfolio
Abstract: This paper is devoted to the problem of optimal investment portfolio design on the base of mathematical modeling tools and method of genetic algorithms. The purpose relates to investing the funds into financial assets such that certain requirements regarding the expected profits and possible losses would be reached. The main result is developing a state-space dynamical model of portfolio management and applying a genetic algorithm in order to obtain the optimal solution.
URI: http://evnuir.vnu.edu.ua/handle/123456789/14348
Content type: Article
Appears in Collections:Наукові роботи (FITM)

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