23 citations · 46 across the 9 of their papers we have counts for
8 papers · 1 filter
Learning Warm Starts for the Simplex Method from Measured Solver Cost
Felix Parker, Danielle A. Ripsman, Emmett Springer +1
Learned warm starts for the simplex method build starting bases using predictions of which variables will be basic at optimality. Prior work has shown that starting bases predicted…
Improving Observed Decisions Quality using Inverse Optimization: A Radiation Therapy Treatment Planning Application
Farzin Ahmadi, Todd R. McNutt, Kimia Ghobadi
In many applied optimization settings, parameters that define the constraints may not guarantee the best possible solution, and superior solutions might exist that are infeasible f…
You Are What You Eat: A Preference-Aware Inverse Optimization Approach
Farzin Ahmadi, Tinglong Dai, Kimia Ghobadi
A key challenge in the emerging field of precision nutrition entails providing diet recommendations that reflect both the (often unknown) dietary preferences of different patient g…
Expert-Guided Inverse Optimization for Convex Constraint Inference
Houra Mahmoudzadeh, Kimia Ghobadi
Conventional inverse optimization inputs a solution and finds the parameters of an optimization model that render a given solution optimal. The literature mostly focuses on inferri…
Optimal Resource and Demand Redistribution for Healthcare Systems Under Stress from COVID-19
Felix Parker, Hamilton Sawczuk, Fardin Ganjkhanloo +2
When facing an extreme stressor, such as the COVID-19 pandemic, healthcare systems typically respond reactively by creating surge capacity at facilities that are at or approaching…
Inverse Learning: Solving Partially Known Models Using Inverse Optimization
Farzin Ahmadi, Fardin Ganjkhanloo, Kimia Ghobadi
We consider the problem of learning optimal solutions of a partially known linear optimization problem and recovering its underlying cost function where a set of past decisions and…
An Open-Source Dataset on Dietary Behaviors and DASH Eating Plan Optimization Constraints
Farzin Ahmadi, Fardin Ganjkhanloo, Kimia Ghobadi
Linear constrained optimization techniques have been applied to many real-world settings. In recent years, inferring the unknown parameters and functions inside an optimization mod…
Inferring Linear Feasible Regions using Inverse Optimization
Kimia Ghobadi, Houra Mahmoudzadeh
Consider a problem where a set of feasible observations are provided by an expert and a cost function is defined that characterizes which of the observations dominate the others an…