КФУ. Карточка публикации. Hybrid Methods for Network Equilibrium Problems

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HYBRID METHODS FOR NETWORK EQUILIBRIUM PROBLEMS

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2022

Язык

английский

Авторы, сотрудники КФУ

Пинягина Ольга Владиславовна, автор

Библиографическое описание на языке оригинала

Konnov I, Pinyagina O., Hybrid Methods for Network Equilibrium Problems//Lecture Notes in Computational Science and Engineering. - 2022. - Vol.141, Is.. - P.195-208.

Аннотация

In the present paper, we propose a hybrid approach for network equilibrium problems. This approach combines the methods of conditional gradient and partial linearization. To apply the hybrid method, the whole set of origin-destination pairs is arbitrarily divided into two parts, for one of them the subproblem of direction finding is solved by the conditional gradient method, for the other, the partial linearization method is used. We propose two variants of the hybrid method with inexact direction finding and adaptive step-size choice.

Ключевые слова

Network Equilibrium Problem, Hybrid Method

Название журнала

Lecture Notes in Computational Science and Engineering

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138825955&doi=10.1007%2f978-3-030-87809-2_15&partnerID=40&md5=81f443353a3f08c659ce5f758bd2881a

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https://repository.kpfu.ru/?p_id=271840

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Пинягина Ольга Владиславовна	ru_RU
dc.date.accessioned	2022-01-01T00:00:00Z	ru_RU
dc.date.available	2022-01-01T00:00:00Z	ru_RU
dc.date.issued	2022	ru_RU
dc.identifier.citation	Konnov I, Pinyagina O., Hybrid Methods for Network Equilibrium Problems//Lecture Notes in Computational Science and Engineering. - 2022. - Vol.141, Is.. - P.195-208.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=271840	ru_RU
dc.description.abstract	Lecture Notes in Computational Science and Engineering	ru_RU
dc.description.abstract	In the present paper, we propose a hybrid approach for network equilibrium problems. This approach combines the methods of conditional gradient and partial linearization. To apply the hybrid method, the whole set of origin-destination pairs is arbitrarily divided into two parts, for one of them the subproblem of direction finding is solved by the conditional gradient method, for the other, the partial linearization method is used. We propose two variants of the hybrid method with inexact direction finding and adaptive step-size choice.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Network Equilibrium Problem	ru_RU
dc.subject	Hybrid Method	ru_RU
dc.title	Hybrid Methods for Network Equilibrium Problems	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU