Optimal control and genetic algorithms in modeling dynamical allocation of resources for a three-sector economy
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
Authors
Date
2023Discipline
TietotekniikkaComputing, Information Technology and MathematicsLaskennallinen tiedeMathematical Information TechnologyComputing, Information Technology and MathematicsComputational ScienceCopyright
© 2023 Taylor & Francis
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.
Publisher
Taylor & FrancisISSN Search the Publication Forum
1744-5760Keywords
Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/159527976
Metadata
Show full item recordCollections
License
Related items
Showing items with similar title or keywords.
-
Algorithmic issues in computational intelligence optimization : from design to implementation, from implementation to design
Caraffini, Fabio (University of Jyväskylä, 2016)The vertiginous technological growth of the last decades has generated a variety of powerful and complex systems. By embedding within modern hardware devices sophisticated software, they allow the solution of complicated ... -
Evolutionary design optimization with Nash games and hybridized mesh/meshless methods in computational fluid dynamics
Wang, Hong (University of Jyväskylä, 2012) -
Simple memetic computing structures for global optimization
Poikolainen, Ilpo (University of Jyväskylä, 2014) -
On Optimal Deployment of Low Power Nodes for High Frequency Next Generation Wireless Systems
Zolotukhin, Mikhail; Sayenko, Oleksandr; Hämäläinen, Timo (Elsevier BV, 2018)Recent development of wireless communication systems and standards is characterized by constant increase of allocated spectrum resources. Since lower frequency ranges cannot provide sufficient amount of bandwidth, new bands ... -
Memory-saving optimization algorithms for systems with limited hardware
Iacca, Giovanni (University of Jyväskylä, 2011)