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of 53
pro vyhledávání: '"Rahimian, Hamed"'
Autor:
Rahimian, Hamed, Mehrotra, Sanjay
Publikováno v:
Open Journal of Mathematical Optimization, Vol 3, Iss , Pp 1-85 (2022)
The concepts of risk aversion, chance-constrained optimization, and robust optimization have developed significantly over the last decade. The statistical learning community has also witnessed a rapid theoretical and applied growth by relying on thes
Externí odkaz:
https://doaj.org/article/5a012a72e0e54fb9996912c2d20ac319
In the automotive industry, the sequence of vehicles to be produced is determined ahead of the production day. However, there are some vehicles, failed vehicles, that cannot be produced due to some reasons such as material shortage or paint failure.
Externí odkaz:
http://arxiv.org/abs/2306.12618
Publikováno v:
International Journal of Production Research; Dec2024, Vol. 62 Issue 23, p8485-8504, 20p
Publikováno v:
In European Journal of Operational Research 16 November 2024 319(1):206-221
We study multistage distributionally robust optimization (DRO) to hedge against ambiguity in quantifying the underlying uncertainty of a problem. Recognizing that not all the realizations and scenario paths might have an "effect" on the optimal value
Externí odkaz:
http://arxiv.org/abs/2109.06791
This paper presents a stochastic optimization model for allocating and sharing a critical resource in the case of a pandemic. The demand for different entities peaks at different times, and an initial inventory from a central agency is to be allocate
Externí odkaz:
http://arxiv.org/abs/2004.01318
Akademický článek
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Autor:
Rahimian, Hamed
Many decision-making problems arising in science, engineering, and business involveuncertainties. One way to address these problems is to use stochastic optimization.A crucial task when building stochastic optimization models is quantifying aprobabil
Autor:
Rahimian, Hamed, Mehrotra, Sanjay
Publikováno v:
Open Journal of Mathematical Optimization, Volume 3 (2022), article no. 4
The concepts of risk-aversion, chance-constrained optimization, and robust optimization have developed significantly over the last decade. Statistical learning community has also witnessed a rapid theoretical and applied growth by relying on these co
Externí odkaz:
http://arxiv.org/abs/1908.05659
Autor:
Pathy, Soumya Ranjan, Rahimian, Hamed
Publikováno v:
In Computers & Industrial Engineering June 2023 180