2 papers
math.OC2023
Optimize-via-Predict: Realizing out-of-sample optimality in data-driven optimization
Gar Goei Loke, Taozeng Zhu, Ruiting Zuo
We examine a stochastic formulation for data-driven optimization wherein the decision-maker is not privy to the true distribution, but has knowledge that it lies in some hypothesis…
cs.PF2020
Flexibility in an asymmetric system with prolonged service time at non-dedicated servers
Yanting Chen, Jingui Xie, Taozeng Zhu
The prolonged service time at non-dedicated servers has been observed in [1]. Motivated by such real problems, we propose a stylized model which characterizes the feature of the pr…