Optimization of Characteristics for a Stochastic Agent-Based Model of Goods Exchange with the Use of Parallel Hybrid Genetic Algorithm Cover

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Optimization of Characteristics for a Stochastic Agent-Based Model of Goods Exchange with the Use of Parallel Hybrid Genetic Algorithm

Cybernetics and Information Technologies

Volume 23 (2023): Issue 2 (June 2023)

By: Andranik S. Akopov, Armen L. Beklaryan and Aleksandra A. Zhukova

Open Access

|Jun 2023

Authors

Andranik S. Akopov

andranik.s.akopov@ieee.org

Central Economics and Mathematics Institute of Russian Academy of Sciences, Moscow, Russian Federation

MIREA – Russian Technological University, Moscow, Russian Federation

Armen L. Beklaryan

abeklaryan@hse.ru

HSE University, Moscow, Russian Federation

Aleksandra A. Zhukova

sasha.mymail@gmail.com

Federal Research Center “Computer Science and Control”, Russian Academy of Sciences, Moscow, Russian Federation

DOI: https://doi.org/10.2478/cait-2023-0015 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702

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Language: English

Page range: 87 - 104

Submitted on: Mar 15, 2023

Accepted on: Apr 18, 2023

Published on: Jun 12, 2023

Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Stochastic simulation model,

agent-based modeling of barter and monetary interactions,

optimal control in agent models,

real-coded genetic algorithms,

machine learning methods,

particle swarm optimization,

Related subjects:

Computer sciences,

Information technology

© 2023 Andranik S. Akopov, Armen L. Beklaryan, Aleksandra A. Zhukova, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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