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20162020
most citedDistributionally Robust Facility Location Problem under Decision-dependent Stochastic Demand

21 citations · 25 across the 4 of their papers we have counts for

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9 papers · 1 filter

math.OC2020

Distributionally Robust Bottleneck Combinatorial Problems: Uncertainty Quantification and Robust Decision Making

Weijun Xie, Jie Zhang, Shabbir Ahmed

This paper studies data-driven distributionally robust bottleneck combinatorial problems (DRBCP) with stochastic costs, where the probability distribution of the cost vector is con…

math.OC202021 cited

Distributionally Robust Facility Location Problem under Decision-dependent Stochastic Demand

Beste Basciftci, Shabbir Ahmed, Siqian Shen

Facility location decisions significantly impact customer behavior and consequently the resulting demand in a wide range of businesses. Furthermore, sequentially realized uncertain…

math.OC2019

Efficient Algorithms for Distributionally Robust Stochastic Optimization with Discrete Scenario Support

Zhe Zhang, Shabbir Ahmed, Guanghui Lan

Recently, there has been a growing interest in distributionally robust optimization (DRO) as a principled approach to data-driven decision making. In this paper, we consider a dist…

math.OC2019

Exact Augmented Lagrangian Duality for Mixed Integer Quadratic Programming

Xiaoyi Gu, Shabbir Ahmed, Santanu S. Dey

Mixed integer quadratic programming (MIQP) is the problem of minimizing a convex quadratic function over mixed integer points in a rational polyhedron. This paper focuses on the au…

math.OC20193 cited

Two-stage Stochastic Lot-sizing Problem with Chance-constrained Condition in the Second Stage

Zeyang Zhang, Chuanhou Gao, Shabbir Ahmed

In a given production planning horizon, the demands may only be comfirmed in part of the whole periods, and the others are uncertain. In this paper, we consider a two-stage stochas…

math.OC2019

Stochastic Lipschitz Dynamic Programming

Shabbir Ahmed, Filipe Goulart Cabral, Bernardo Freitas Paulo da Costa

We propose a new algorithm for solving multistage stochastic mixed integer linear programming (MILP) problems with complete continuous recourse. In a similar way to cutting plane m…