• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • A
  • A
  • A
  • A
  • A
Обычная версия сайта
  • RU
  • EN
  • HSE University
  • Publications
  • Book chapter
  • УПРАВЛЕНИЕ РИСКАМИ ПРИМЕНЕНИЯ ГЕНЕТИЧЕСКИХ АЛГОРИТМОВ К РЕШЕНИЮ ЗАДАЧ ПЛАНИРОВАНИЯ ПЕРЕВОЗОЧНОГО ПРОЦЕССА ТРАНСПОРТНЫХ СИСТЕМ
  • RU
  • EN
Расширенный поиск
Высшая школа экономики
Национальный исследовательский университет
Priority areas
  • business informatics
  • economics
  • engineering science
  • humanitarian
  • IT and mathematics
  • law
  • management
  • mathematics
  • sociology
  • state and public administration
by year
  • 2027
  • 2026
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005
  • 2004
  • 2003
  • 2002
  • 2001
  • 2000
  • 1999
  • 1998
  • 1997
  • 1996
  • 1995
  • 1994
  • 1993
  • 1992
  • 1991
  • 1990
  • 1989
  • 1988
  • 1987
  • 1986
  • 1985
  • 1984
  • 1983
  • 1982
  • 1981
  • 1980
  • 1979
  • 1978
  • 1977
  • 1976
  • 1975
  • 1974
  • 1973
  • 1972
  • 1971
  • 1970
  • 1969
  • 1968
  • 1967
  • 1966
  • 1965
  • 1964
  • 1963
  • 1958
  • More
Subject
News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Publications
  • Books
  • Articles
  • Chapters of books
  • Working papers
  • Report a publication
  • Research at HSE

?

УПРАВЛЕНИЕ РИСКАМИ ПРИМЕНЕНИЯ ГЕНЕТИЧЕСКИХ АЛГОРИТМОВ К РЕШЕНИЮ ЗАДАЧ ПЛАНИРОВАНИЯ ПЕРЕВОЗОЧНОГО ПРОЦЕССА ТРАНСПОРТНЫХ СИСТЕМ

С. I-23–I-23.
Sidorenko V., Чжо М. А.
Language: Russian
Full text
Keywords: генетические алгоритмыgenetic algorithm

In book

Труды XVIII научно-практической конференции «Безопасность движения поездов»
Труды XVIII научно-практической конференции «Безопасность движения поездов»
М.: МИИТ, 2017.
Similar publications
Agricultural Field Coverage with a Group of Mobile Robots Considering a Soil Compaction Risk and Energy Efficiency
Faizullin R., Imamov N., Tsoy T. et al., , in: Proceedings of the Fifth International Conference on Agriculture Digitalization and Organic Production (ADOP 2025), Volume 1. Robotics in Agriculture. (SIST, volume 453).: Springer, 2026. P. 25 – 34.
This article considers a dual problem of optimizing field coverage while minimizing a soil compaction and managing energy constraints of agricultural robots. The soil compaction in precision agriculture is a major challenge, as mobile robots are becoming increasingly common in field operations. A proposed optimization combines a soil compaction risk assessment with energy-efficient trajectory planning ...
Added: March 17, 2026
Hybrid domain based data embedding using quantization index modulation and metaheuristic optimization
Melman A., Evsyutin O., Knowledge-Based Systems 2025 Vol. 329 No. B Article 114429
Embedding additional information into digital images is an effective method of data privacy protection. A data hiding scheme needs to have a high level of imperceptibility to provide a high level of security. At the same time, it is necessary to maintain good capacity and ability to extract information in its original form. In this ...
Added: September 9, 2025
Множественное встраивание водяных знаков в пространственно-частотную область изображений на основе генетического алгоритма
Melman A., Evsyutin O., Senyukova O., Компьютерная оптика 2025 Т. 49 № 2 С. 273–281
The widespread use of digital content makes the task of protecting author’s and owner’s rights increasingly important, in particular with regard to digital images. Digital watermarking technology is an effective tool that solves many problems associated with proving authorship of images, verifying authenticity, and tracking illegal copying. An effective watermarking algorithm requires achieving high levels ...
Added: March 8, 2025
Оптимизация стратегий поведения в имитационной модели многоагентной социально-экономической системы
Akopov A. S., Beklaryan A., Экономика и математические методы 2023 Т. 59 № 3 С. 117–131
This article presents a new simulation model of a multi-agent socio-economic system (MA-SES), in which individual, including interproduct interactions are implemented. Within the MA-SES, the models of agent-producers and agents-consumers behaviour with their objective functions are studied. In particular, producers follow their own production strategies by choosing the moments for introducing new fixed assets and ...
Added: May 25, 2024
Use of Genetic Algorithm and Evolution Strategy when Revealing the Worst Case Effects of Crosstalk Propagation in PCB Bus of Spacecraft Autonomous Navigation System
Gazizov R., Gazizov R. R., Zabolotsky A. M., , in: 2018 19th International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices (EDM)Issue 19.: IEEE, 2018. P. 93–97.
Importance of the genetic algorithm (GA) and evolution strategy (ES) usage in the investigation of an ultrashort pulse peak voltage in a printed circuit board (PCB) bus of autonomous navigation system (ANS) is highlighted. Trapezoidal ultrashort pulse propagation along the conductors of the PCB bus was optimized. The optimization was made by maximization criteria of ...
Added: May 17, 2024
An Image Watermarking Algorithm in DCT Domain Based on Optimal Patterns
Anna Melman, Oleg Evsutin, Danil Smirnov, , in: 2023 XVIII International Symposium Problems of Redundancy in Information and Control Systems (REDUNDANCY).: IEEE, 2023. P. 1–5.
Sharing images via social media and specialized sites creates a copyright issue. Image watermarking methods provide copyright protection for authors and owners of digital content. The security level of a watermarking algorithm depends on a watermark’s resistance to various distorting effects, such as brightness changing, contrast changing, applying a Gaussian filter, and others. At the ...
Added: January 5, 2024
Optimization of Characteristics for a Stochastic Agent-Based Model of Goods Exchange with the Use of Parallel Hybrid Genetic Algorithm
Andranik S. Akopov, Armen L. Beklaryan, Zhukova A., Cybernetics and Information Technologies 2023 Vol. 23 No. 2 P. 87–104
A novel approach to modeling stochastic processes of goods exchange between multiple agents is presented, considering the possibility of optimizing the environment’s characteristics and individual decision-making strategies. The proposed model makes it possible to form optimal states when choosing the moments of concluding barter and monetary transactions at the individual level of each agent maximizing ...
Added: June 8, 2023
Новая программная платформа для моделирования транспортных потоков с участием беспилотных автомобилей
Beklaryan A., Вестник ЦЭМИ 2023 Т. 6 № 1 Статья 5
The article presents a new software platform for modelling traffic flows involving unmanned vehicles, using a number of advanced technological solutions, in particular, the FLAME GPU supercomputer agent modelling framework, intelligent software modules based on fuzzy and hierarchical clustering, genetic optimization algorithms, a subsystem for visualizing the state of agents-vehicles based on OpenGL, etc. As ...
Added: June 4, 2023
Multisector Bounded-Neighborhood Model: Agent Segregation and Optimization of Environment’s Characteristics
Akopov A. S., Beklaryan L. A., Beklaryan A., Mathematical Models and Computer Simulations 2022 Vol. 14 No. 3 P. 503–515
An approach is presented to study the effects of segregation using the developed multisector bounded-neighborhood model. A model of the evolutionary dynamics of a community consisting of local (indigenous) and external (migrants) populations interacting in an artificial socioeconomic system is proposed, in which the key sectors of the economy are identified: the extraction of raw materials (primary sector, attracting ...
Added: May 30, 2022
Machine Learning Approach for the Game Mechanics Problem in Computer Games
Belov A. V., Sapozhnikov A., Semichasnov I., , in: Proceedings of the 2021 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS).: IEEE, 2021. P. 485–490.
The purpose of this work is to develop algorithms and game mechanics for controlling the car driving along a track using a genetic algorithm for training a neural network with the ability to save and load the obtained weights during training. A genetic algorithm and a neural network were developed using the C ++ programming ...
Added: January 14, 2022
Мультисекторная модель ограниченного соседства: сегрегация агентов и оптимизация характеристик среды
Akopov A. S., Бекларян Л. А., Beklaryan A., Математическое моделирование 2021 Т. 33 № 11 С. 95–114
This article presents an approach to studying the effects of segregation using the developed multi-sector bounded-neighbourhood model. A model of the evolutionary dynamics of a community consisting of a local (natives) and external population (migrants) interacting in an artificial socio-economic system is proposed, in which the key sectors of the economy are highlighted: mining of ...
Added: November 2, 2021
Improvement of Maneuverability Within a Multiagent Fuzzy Transportation System With the Use of Parallel Biobjective Real-Coded Genetic Algorithm
Akopov A. S., Beklaryan L., Thakur M., IEEE Transactions on Intelligent Transportation Systems 2022 Vol. 23 No. 8 P. 12648–12664
Over the past two decades, several simulation-based approaches have been developed to seek optimal solutions in complex multiagent systems (MASs). One example of these complex systems is the proposed multiagent fuzzy transportation system (FTS), in which agents, such as manned ground vehicles (MGVs) and unmanned ground vehicles (UGVs), use fuzzy logic for maneuvering while interacting ...
Added: October 7, 2021
Cluster-Based Optimization of an Evacuation Process Using a Parallel Bi-Objective Real-Coded Genetic Algorithm
Akopov A. S., Beklaryan L., Beklaryan A. L., Cybernetics and Information Technologies 2020 Vol. 20 No. 3 P. 45–63
This work presents a novel approach to the design of a decision-making system for the cluster-based optimization of an evacuation process using a Parallel bi-objective Real-Coded Genetic Algorithm (P-RCGA). The algorithm is based on the dynamic interaction of distributed processes with individual characteristics that exchange the best potential decisions among themselves through a global population. Such an approach allows the ...
Added: August 19, 2020
Применение генетического алгоритма для нахождения редакционного расстояния между моделями процессов
Kalenkova A. A., Колесников Д. А., Моделирование и анализ информационных систем 2018 Т. 25 № 6 С. 711–725
Поиск редакционного расстояния между графовыми моделями (определение схожести графовых моделей) является важной задачей в различных областях компьютерных наук, таких как анализ изображений, машинное обучение, химическая информатика. В последнее время, в связи с развитием методов извлечения и анализа процессов, появилась необходимость в адаптации существующих методов сравнения графовых моделей для анализа моделей процессов (аннотированных графов), извлекаемых из ...
Added: October 13, 2019
The Aplication of Genetic Algorithms for the Scheduling of Electric Rolling Stock Maintenance
Чжо М. А., Sidorenko V., Бучирин В. Г. et al., , in: 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).: M.: IEEE, 2019. P. 2148–2151.
This paper discusses the application of genetic algorithms for the scheduling of electric rolling stock maintenance. The main objective is to improve the automated train scheduling system of uniformity maintenance process with a variety of maintenance resources, including the limited resources. The methods of graph theory and Bellman principle allow us to get the entire ...
Added: August 13, 2019
Parallel multi-agent real-coded genetic algorithm for large-scale black-box single-objective optimisation
Akopov A. S., Beklaryan L. A., Thakur M. et al., Knowledge-Based Systems 2019 Vol. 174 P. 103–122
There is an ongoing evolution involving a new approach to large-scale optimisations based on co-evolutionary searches using interacting heterogeneous agent-processes via the implementation of synchronised genetic algorithms with local populations. The individualisation of heuristic operators at the level of agent-processes that implement independent evolutionary searches facilitate the improved likelihood of obtaining the best solutions in ...
Added: April 18, 2019
Система поддержки принятия решений для рационального озеленения города на примере г. Ереван, Республика Армения
Akopov A. S., Beklaryan A., Сагателян А. К. et al., Программная инженерия 2019 Т. 10 № 2 С. 87–96
This article presents the developed decision support system for the rational management of landscaping on the example of Yerevan, Republic of Armenia. Using agent-based modeling methods, a simulation model has been developed for the distribution of emissions of harmful substances into the atmosphere, taking into account their interaction with green plantings (trees) in order to ...
Added: March 6, 2019
Разработка нового тарифного плана телекоммуникационной компании с учетом предпочтений абонентов и инвесторов
Т.К. Богданова, Д.Ю.Неклюдов, О.М. Уварова, Бизнес-информатика 2018 Т. 43 № 1 С. 39–49
The market of telecommunications services is one of the most important and promising sectors of Russian economics, and its development has an essential impact on development strategies of all industries. In recent times, we observe a tendency for the operators’ business to shift from providing communications services to supplying integrated ICT services. A positive trend ...
Added: January 31, 2019
Hybrid neural network and bi-criteria tabu-machine: comparison of new approaches to maximum clique problem
Babkina T. S., Demidovskij A., Babkin E., International Journal of Big Data Intelligence 2018 Vol. 5 No. 3 P. 143–155
This paper presents two new approaches to solving a classical NP-hard problem of maximum clique problem (MCP), which frequently arises in the domain of information management, including design of database structures and big data processing. In our research, we are focusing on solving that problem using the paradigm of artificial neural networks. The first approach ...
Added: October 3, 2018
Разработка адаптивного генетического оптимизационного алгоритма с использованием методов агентного моделирования
Akopov A. S., Beklaryan A., Khachatryan N. et al., Информационные технологии 2018 Т. 24 № 5 С. 321–329
This article presents a new approach to developing an adaptive genetic optimization algorithm (MAGAMO/A) using agent modeling techniques. The peculiarity of this approach is the support of the mechanism of adaptive control of key characteristics of GA, in particular, the values of the probabilities of crossover operators and mutations, their types and other important characteristics ...
Added: May 11, 2018
Planning Electric-Rolling-Stock Maintenance in Conditions of Limited Resources
Sidorenko V., Уманский В. И., Чжо М. А. et al., Russian Electrical Engineering, Россия 2017 Vol. 88 No. 12 P. 839–841
Planning electric-rolling-stock (ERS) maintenance in conditions of limited resources can be carried out based on the following criteria of efficiency of construction of the cycle diagram of the electric rolling stock: meeting the requirements of the railway-traffic safety provided by adjusting the planned movement time of the electric rolling stock for the purpose of not ...
Added: March 8, 2018
  • About
  • About
  • Key Figures & Facts
  • Sustainability at HSE University
  • Faculties & Departments
  • International Partnerships
  • Faculty & Staff
  • HSE Buildings
  • HSE University for Persons with Disabilities
  • Public Enquiries
  • Studies
  • Admissions
  • Programme Catalogue
  • Undergraduate
  • Graduate
  • Exchange Programmes
  • Summer University
  • Summer Schools
  • Semester in Moscow
  • Business Internship
  • Research
  • International Laboratories
  • Research Centres
  • Research Projects
  • Monitoring Studies
  • Conferences & Seminars
  • Academic Jobs
  • Yasin (April) International Academic Conference on Economic and Social Development
  • Media & Resources
  • Publications by staff
  • HSE Journals
  • Publishing House
  • iq.hse.ru: commentary by HSE experts
  • Library
  • Economic & Social Data Archive
  • Video
  • HSE Repository of Socio-Economic Information
  • HSE1993–2026
  • Contacts
  • Copyright
  • Privacy Policy
  • Site Map
Edit