most citedMultistage Robust Mixed-Integer Optimization Under Endogenous Uncertainty

3 citations · 4 across the 3 of their papers we have counts for

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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…