Tabu Search for the (r|p)-Centroid Problem Under Uncertainty Научная публикация
Конференция |
Optimization Problems of Complex Systems : International Asian School-Seminar 14-22 авг. 2023 , Новосибирск |
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Сборник | 2023 19th International Asian School-Seminar on Optimization Problems of Complex Systems (OPCS) Сборник, IEEE. 2023. 6 c. ISBN 9798350331134. |
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Вых. Данные | Год: 2023, Страницы: 25-30 Страниц : 6 DOI: 10.1109/opcs59592.2023.10275754 | ||||
Ключевые слова | uncertain data, metaheuristic, centroid, bi-level programming | ||||
Авторы |
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Организации |
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Информация о финансировании (1)
1 | Российский научный фонд | 21-41-09017 |
Реферат:
We consider the (r|p)-centroid problem under an assumption of uncertainty in the input data. Two players, the leader and the follower, open facilities, striving to capture the largest market share. The leader opens p facilities, then the follower opens r facilities. Each customer chooses the nearest facility as his supplier and bring a particular income to the corresponding player. The aim is to choose p facilities of the leader in such a way as to maximize his market share. However, it is assumed that customers’ purchasing power is not known exactly and can change after the decision made. This problem can be represented as a bilevel programming problem. In this work, we propose a local search approach based on a stochastic tabu search framework to tackle the problem. We provide the results of numerical experiments and compare the behavior of both players compared to the deterministic setting of the same problem.
Библиографическая ссылка:
Davydov I.
, Kozhevnikov R.
Tabu Search for the (r|p)-Centroid Problem Under Uncertainty
В сборнике 2023 19th International Asian School-Seminar on Optimization Problems of Complex Systems (OPCS). – IEEE., 2023. – C.25-30. – ISBN 9798350331134. DOI: 10.1109/opcs59592.2023.10275754 Scopus OpenAlex
Tabu Search for the (r|p)-Centroid Problem Under Uncertainty
В сборнике 2023 19th International Asian School-Seminar on Optimization Problems of Complex Systems (OPCS). – IEEE., 2023. – C.25-30. – ISBN 9798350331134. DOI: 10.1109/opcs59592.2023.10275754 Scopus OpenAlex
Даты:
Опубликована в печати: | 13 окт. 2023 г. |
Опубликована online: | 13 окт. 2023 г. |
Идентификаторы БД:
Scopus: | 2-s2.0-85175475020 |
OpenAlex: | W4387620830 |
Цитирование в БД:
Пока нет цитирований