Optimal control and genetic algorithms in modeling dynamical allocation of resources for a three-sector economy

被引：0
|
作者：
Alexeeva, Tatyana [1 ]
Chechurin, Leonid [1 ]
Dodonov, Viktor [1 ]
Honarmand, Zahra [1 ]
Kuznetsov, Nikolay [2 ]
Neittaanmaki, Pekka [2 ]
机构：
[1] LUT Univ, Sch Engn Sci, Lappeenranta, Finland
[2] Univ Jyvaskyla, Fac Informat Technol, Jyvaskyla, Finland
来源：
INTERNATIONAL JOURNAL OF PARALLEL EMERGENT AND DISTRIBUTED SYSTEMS | 2023年 / 38卷 / 02期
关键词：
Optimal control; nonlinear dynamics; economic growth; balanced economy; genetic algorithms; GROWTH;
D O I：
10.1080/17445760.2022.2136372
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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. [GRAPHICS] .
引用
收藏
页码：99 / 109
页数：11
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