Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Hasenbein, John"'
We present an optimization model defined on the manifold of the set of stochastic matrices. Geometrically, the model is akin to identifying a maximum-volume $n$-dimensional simplex that has a given barycenter and is enclosed by the $n$-dimensional st
Externí odkaz:
http://arxiv.org/abs/2402.10591
Autor:
van Eekelen, Wouter J. E. C., Hanasusanto, Grani A., Hasenbein, John J., van Leeuwaarden, Johan S. H.
Consider an M/M/$s$ queue with the additional feature that the arrival rate is a random variable of which only the mean, variance, and range are known. Using semi-infinite linear programming and duality theory for moment problems, we establish for th
Externí odkaz:
http://arxiv.org/abs/2310.09995
We re-visit the global - relative to control policies - stability of multiclass queueing networks. In these, as is known, it is generally insufficient that the nominal utilization at each server is below 100%. Certain policies, although work conservi
Externí odkaz:
http://arxiv.org/abs/2303.17746
We compare stochastic programming and robust optimization decision models for informing the deployment of ad hoc flood mitigation measures to protect electrical substations prior to an imminent and uncertain hurricane. In our models, the first stage
Externí odkaz:
http://arxiv.org/abs/2302.12872
We present a stochastic programming model for informing the deployment of ad hoc flood mitigation measures to protect electrical substations prior to an imminent and uncertain hurricane. The first stage captures the deployment of a fixed number of mi
Externí odkaz:
http://arxiv.org/abs/2302.10996
We propose two scenario-based optimization models for power grid resilience decision making that integrate output from a hydrology model with a power flow model. The models are used to identify an optimal substation hardening strategy against potenti
Externí odkaz:
http://arxiv.org/abs/2302.10408
This paper presents an extension of Naor's analysis on the join-or-balk problem in observable M/M/1 queues. While all other Markovian assumptions still hold, we explore this problem assuming uncertain arrival rates under the distributionally robust s
Externí odkaz:
http://arxiv.org/abs/2204.03221
Autor:
Bilir, Barış, Kutanoglu, Erhan, Hasenbein, John J., Austgen, Brent, Garcia, Manuel, Skolfield, J. Kyle
Publikováno v:
In Sustainable Cities and Society 1 November 2024 114
Publikováno v:
In Socio-Economic Planning Sciences October 2024 95
This paper develops an agent-based disease spread model on a contact network in an effort to guide efforts at surveillance testing in small to moderate facilities such as nursing homes and meat-packing plants. The model employs Monte Carlo simulation
Externí odkaz:
http://arxiv.org/abs/2110.00170