Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Beste Basciftci"'
Autor:
Beste Basciftci
Publikováno v:
Encyclopedia of Optimization ISBN: 9783030546212
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36ce1c742a78613a09d441dd499bca36
https://doi.org/10.1007/978-3-030-54621-2_786-1
https://doi.org/10.1007/978-3-030-54621-2_786-1
Publikováno v:
2022 IEEE PES/IAS PowerAfrica.
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Computers & Operations Research. 149:106028
We consider the problem of optimizing locations of distribution centers (DCs) and plans for distributing resources such as test kits and vaccines, under spatiotemporal uncertainties of disease spread and demand for the resources. We aim to balance th
Publikováno v:
IISE Transactions. 52:589-602
Generator maintenance scheduling plays a pivotal role in ensuring uncompromised operations of power systems. There exists a tight coupling between the condition of the generators and corresponding ...
Autor:
Beste Basciftci, Pascal Van Hentenryck
This paper studies how to integrate rider mode preferences into the design of on-demand multimodal transit systems (ODMTSs). It is motivated by a common worry in transit agencies that an ODMTS may be poorly designed if the latent demand, that is, new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e66a8d77e506d328839590f15d71663
http://arxiv.org/abs/2101.01056
http://arxiv.org/abs/2101.01056
Autor:
Pascal Van Hentenryck, Beste Basciftci
Publikováno v:
Integration of Constraint Programming, Artificial Intelligence, and Operations Research ISBN: 9783030589417
CPAIOR
CPAIOR
This study explores the design of an On-Demand Multimodal Transit System (ODMTS) that includes segmented mode switching models that decide whether potential riders adopt the new ODMTS or stay with their personal vehicles. It is motivated by the desir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4fe784322aa36b7ff71ba33024ccde8
https://doi.org/10.1007/978-3-030-58942-4_4
https://doi.org/10.1007/978-3-030-58942-4_4
Publikováno v:
IEEE Transactions on Power Systems. 33:6755-6765
We develop a stochastic optimization framework for integrated condition-based maintenance and operations scheduling for a fleet of generators with explicit consideration of unexpected failures. Our approach is based on a model that uses condition-bas
While the traditional facility location problem considers exogenous demand, in some applications, locations of facilities could affect the willingness of customers to use certain types of services, e.g., carsharing, and therefore they also affect rea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79d62d97f4d7991c7046eba2a1785b98