On the Robust Capacitated Facility Location and Design Problem with Elastic Demand | Sciact - Система учета научной деятельности ИМ СО РАН

On the Robust Capacitated Facility Location and Design Problem with Elastic Demand Научная публикация

Журнал

International Journal of Artificial Intelligence
ISSN: 0974-0635

Вых. Данные

Год: 2023, Том: 21, Номер: 2, Страницы: 93-108 Страниц : 16

Ключевые слова

robustness, discrete facility location, elastic demand, variable neighborhood search

Авторы

Levanova Tatyana V. ^1,2 , Gnusarev Alexander Y. ¹ , Rubtsova Ekaterina A. ²

Организации

1	Sobolev Institute of Mathematics
2	Dostoevsky Omsk State University

Информация о финансировании (1)

Российский научный фонд

21-41-09017

In the capacitated facility location and design problem with elastic demand, a new Company plans to open service facilities. The Company fights with a Competitor for a serviced share of all customer demand. This share varies elastically depending on the location and design of the facilities being opened. In this formulation, customer demand is known and assumed to be unchanged. However, in real-world situations, when planning for a certain period, the demand changes, and instead of exact values, its estimates can be given. Therefore, robust location problems have appeared that take this fact into account. In this paper, we formulate a new robust model of the capacitated facility location and design problem with elastic demand. A problem-specified version of the Variable Neighborhood Search algorithm is developed. To organize the search for a solution, special types of neighborhoods are constructed. The results of computational experiments are performed.

Levanova T.V. , Gnusarev A.Y. , Rubtsova E.A.
On the Robust Capacitated Facility Location and Design Problem with Elastic Demand
International Journal of Artificial Intelligence. 2023. V.21. N2. P.93-108. Scopus

Опубликована в печати:	13 мая 2023 г.
Опубликована online:	13 мая 2023 г.

Scopus:

2-s2.0-85153341955

БД	Цитирований
Scopus	1