Multi-Agent Modeling in Schedule Problems

Sivakova T.V.; Sudakov V.A.

doi:10.17759/mda.2019090408

Previous issue (2020. Vol. 10, no. 1)

Modelling and Data Analysis

Publisher: Moscow State University of Psychology and Education

ISSN (printed version): 2219-3758

ISSN (online): 2311-9454

DOI: https://doi.org/10.17759/mda

License: CC BY-NC 4.0

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Modelling and Data Analysis
2019. Vol. 09, no. 4, 100–111
doi:10.17759/mda.2019090408
ISSN: 2219-3758 / 2311-9454 (online)

Multi-Agent Modeling in Schedule Problems ¹⁰²

Sivakova T.V.
Researcher, Keldysh Institute of Applied Mathematics (Russian Academy of Sciences), Moscow, Russia
ORCID: https://orcid.org/0000-0001-8026-2198
e-mail: sivakova15@mail.ru

Sudakov V.A.
Doctor of Engineering, Professor, Moscow Aviation Institute (National Research University), Moscow, Russia
ORCID: https://orcid.org/0000-0002-1658-1941
e-mail: sudakov@ws-dss.com

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The article explores the use of multi-agent technologies for solving optimization problems. It is shown how multi-agent systems allow working with restrictions in a distributed computing environment. The task of scheduling is formalized. Software was developed and computational experiments were carried out, which showed the effectiveness of the proposed approach.

Keywords: multiagent systems, agent preferences, optimization, distributed systems

Column: Optimization Methods

DOI: https://doi.org/10.17759/mda.2019090408

For Reference

Sivakova T.V., Sudakov V.A. Multi-Agent Modeling in Schedule Problems. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2019. Vol. 09, no. 4, pp. 100–111. doi:10.17759/mda.2019090408. (In Russ., аbstr. in Engl.)

This work was supported by grant RFBR No 18–00–00012 (18–00–00011) KOMFI.

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