3 citations · 4 across the 3 of their papers we have counts for
3 papers
math.OC2020★ 1 cited
A Unified Framework for Adjustable Robust Optimization with Endogenous Uncertainty
Qi Zhang, Wei Feng
This work proposes a framework for multistage adjustable robust optimization that unifies the treatment of three different types of endogenous uncertainty, where decisions, respect…
math.OC2020★ 3 cited
Multistage Robust Mixed-Integer Optimization Under Endogenous Uncertainty
Wei Feng, Yiping Feng, Qi Zhang
Endogenous, i.e. decision-dependent, uncertainty has received increased interest in the stochastic programming community. In the robust optimization context, however, it has rarely…
math.OC2020
Branch-and-Price for a Class of Nonconvex Mixed-Integer Nonlinear Programs
Andrew Allman, Qi Zhang
This work attempts to combine the strengths of two major technologies that have matured over the last three decades: global mixed-integer nonlinear optimization and branch-and-pric…