Methodology of searching pareto-optimal solutions for the development of smart cities on the basis of their digital twins

  • Viktor I. Abramov National Research Nuclear University MEPhI
  • Oleg L. Golovin NU Institute of Applied Information Technologies
  • Alexander D. Stolyarov National Research Nuclear University MEPhI
Keywords: smart city, digital twins, Pareto optimization, predictive analytics, sensitivity analysis, LPτ– sequences

Abstract

Purpose: the article deals with the search for management multicriteria Pareto-optimal solutions for the development of a smart city based on its digital twin. Discussion: in the context of rapid changes and global instability, the role of digital technologies and the use of promising methods of predictive multi-objective analysis are increasing. The article shows that the technology of digi-tal twins of smart cities is actively developing and presents the method for finding Pareto optimal solutions using nonlinear multicriteria sensitivity analy-sis using LPτ – sequences based on them. Results: the authors proposed a methodology using a nonlinear analysis of the sensitivity of performance indi-cators to many parameters depending on time with new search capabilities for Pareto-optimal solutions for the development of smart cities.

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Published
2021-09-28
How to Cite
Abramov, V. I., Golovin, O. L., & Stolyarov, A. D. (2021). Methodology of searching pareto-optimal solutions for the development of smart cities on the basis of their digital twins. Modern Economics: Problems and Solutions, 9, 8-15. https://doi.org/10.17308/meps.2021.9/2666
Section
Mathematical Methods in Economics