A1 Journal article (refereed)
Optimal control and genetic algorithms in modeling dynamical allocation of resources for a three-sector economy (2023)

Alexeeva, T., Chechurin, L., Dodonov, V., Honarmand, Z., Kuznetsov, N., & Neittaanmäki, P. (2023). Optimal control and genetic algorithms in modeling dynamical allocation of resources for a three-sector economy. International Journal of Parallel, Emergent and Distributed Systems, 38(2), 99-109. https://doi.org/10.1080/17445760.2022.2136372

JYU authors or editors

Publication details

All authors or editors: Alexeeva, Tatyana; Chechurin, Leonid; Dodonov, Viktor; Honarmand, Zahra; Kuznetsov, Nikolay; Neittaanmäki, Pekka

Journal or series: International Journal of Parallel, Emergent and Distributed Systems

ISSN: 1744-5760

eISSN: 1744-5779

Publication year: 2023

Publication date: 10/11/2022

Volume: 38

Issue number: 2

Pages range: 99-109

Publisher: Taylor & Francis

Publication country: United Kingdom

Publication language: English

DOI: https://doi.org/10.1080/17445760.2022.2136372

Publication open access: Not open

Publication channel open access: Channel is not openly available

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/93531

Abstract

The task of looking for the optimal allocation of resources in an economy is fraught with a number of severe restrictions. This is manifested in the complexity of the technical implementation of the solution even in the case of a low dimension of the problem. In this paper, we consider two approaches, analytical and numerical, for deriving the dynamical optimal allocation of resources in a three-sector economy and show that the use of modern artificial intelligence (AI) technologies such as genetic algorithms (GA), can be useful for expanding the range of effective tools and new contributions to this problem.

Keywords: economic growth; genetic algorithms; optimisation

Free keywords: optimal control; nonlinear dynamics; economic growth; balanced economy; genetic algorithms

Contributing organizations

Ministry reporting: Yes

VIRTA submission year: 2022

JUFO rating: 1