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Economic Analysis: Theory and Practice

Foresight of the federal district's innovation system evolution using a multiobjective genetic algorithm

Vol. 22, Iss. 5, MAY 2023

Received: 14 May 2020

Received in revised form: 28 May 2020

Accepted: 11 June 2020

Available online: 30 May 2023

Subject Heading: Innovations

JEL Classification: C63, E17, O21, O36

Pages: 913–932


Sergei N. YASHIN National Research Lobachevsky State University of Nizhny Novgorod (UNN), Nizhny Novgorod, Russian Federation


Egor V. KOSHELEV National Research Lobachevsky State University of Nizhny Novgorod (UNN), Nizhny Novgorod, Russian Federation


Dmitrii A. SUKHANOV Non-State Educational Private Institution for Further Professional Education BIOTA–PLUS, Nizhny Novgorod, Russian Federation


Subject. The article deals with issues related to the introduction of simulation technologies in business processes based on the data bulk processing.
Objectives. The aim is to propose the use of simulation modeling in public administration, namely at the level of interregional cooperation in certain federal districts.
Methods. For the study, we employ a proposed model of foresight of the federal district's innovation system evolution, based on the multiobjective genetic algorithm.
Results. The paper proves that the use of simulation modeling will increase per capita income, and this will lead to population growth. At the same time, there is also information and logistical interaction, which confirms the practical effectiveness of the open innovation model.
Conclusions. It is necessary to redirect investment resources and research costs to regions where economic and financial resources are scarce. For the Volga Federal District, as a result of foresight methods, it was obtained that the total positive reserve for research amounts to 8,412 million RUB. It should be sent to the Samara Oblast. Therefore, the synergetic effect of the entire Volga Federal District will be 429,344 million RUB.

Keywords: foresight, multiobjective genetic algorithm, intercluster interaction, simulation


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