Optimal unlabeled set partitioning with application to risk-based quarantine policies
J Lin, H Aprahamian, H El-Amine - IISE Transactions, 2024 - Taylor & Francis
We consider the problem of partitioning a set of items into unlabeled subsets so as to
optimize an additive objective, ie, the objective function value of a partition is equal to the …
optimize an additive objective, ie, the objective function value of a partition is equal to the …
An Optimization-Based Order-and-Cut Approach for Fair Clustering of Data Sets
Machine learning algorithms have been increasingly integrated into applications that
significantly affect human lives. This surged an interest in designing algorithms that train …
significantly affect human lives. This surged an interest in designing algorithms that train …
Optimal targeted mass screening in non‐uniform populations with multiple tests and schemes
J Lin, H Aprahamian, G Golovko - Naval Research Logistics …, 2024 - Wiley Online Library
We study the problem of designing optimal targeted mass screening of non‐uniform
populations. Mass screening is an essential tool that is widely utilized in a variety of settings …
populations. Mass screening is an essential tool that is widely utilized in a variety of settings …
A proactive/reactive mass screening approach with uncertain symptomatic cases
J Lin, H Aprahamian, G Golovko - PLoS computational biology, 2024 - journals.plos.org
We study the problem of mass screening of heterogeneous populations under limited testing
budget. Mass screening is an essential tool that arises in various settings, eg, the COVID-19 …
budget. Mass screening is an essential tool that arises in various settings, eg, the COVID-19 …
An optimization-based framework to minimize the spread of diseases in social networks with heterogeneous nodes
S Li, H Aprahamian - IISE Transactions, 2024 - Taylor & Francis
We provide an optimization-based framework that identifies social separation policies to
mitigate the spread of diseases in social networks. The study considers subject-specific risk …
mitigate the spread of diseases in social networks. The study considers subject-specific risk …
Affect under need satisfaction and need thwarting: A new classification for the prediction of creative performance
L Ye, H Sun, J Zhang, B Dong, X Chu, J Tao, N Zhang… - Heliyon, 2024 - cell.com
Affect plays a pivotal role in fostering creative performance, and there is increasing
recognition that different levels and types of affect may exert distinct impacts on creative …
recognition that different levels and types of affect may exert distinct impacts on creative …
Set Partitioning: Applications in Health Care
H Aprahamian, H El-Amine - Encyclopedia of Optimization, 2022 - Springer
The set partitioning problem (SPP) is the task of partitioning a finite set of items in a manner
that optimizes a certain objective function. For a given finite set made up of N∈ N+ items …
that optimizes a certain objective function. For a given finite set made up of N∈ N+ items …