Expanding our understanding of traffickers and their operations: A review of the literature and path forward

K Barrick, TC Sharkey, KL Maass… - Trauma, Violence, & …, 2024 - journals.sagepub.com
Human trafficking is a serious crime and violation of human rights that results in numerous
harms. Although the phenomenon is not new, scholarship on the issue has grown …

Robust maximum flow network interdiction considering uncertainties in arc capacity and resource consumption

D Chauhan, A Unnikrishnan, SD Boyles… - Annals of Operations …, 2024 - Springer
This article discusses a robust network interdiction problem considering uncertainties in arc
capacities and resource consumption. The problem involves two players: an adversary …

Modeling Disruptions to Sex Trafficking Networks with Other Forced Illegal Activities

M Clark, TC Sharkey, T Ayler, T Forliti… - Journal of Human …, 2023 - Taylor & Francis
Victims of sex trafficking are often forced to participate in a variety of legal and illegal
activities, including selling commercial sex, drug trafficking, committing theft, and committing …

Ensuring sustainable strategies for achieving multi-commodity maximum flow on a fuzzy network under interdictions

G Ozcelik, A Sahin - Scientia Iranica, 2024 - scientiairanica.sharif.edu
This paper addresses the multi-commodity maximum flow network interdiction problem (MC-
MFNIP) which involves two opposite sides with conflicting objectives in the presence of …

Distributionally Risk-Receptive and Robust Multistage Stochastic Integer Programs and Two-player Interdiction Games with (out) Decision-Dependent Uncertainty

S Kang, M Bansal - arXiv preprint arXiv:2406.05256, 2024 - arxiv.org
In this paper, we study distributionally risk-receptive and distributionally robust (or risk-
averse) multistage stochastic mixed-integer programs (denoted by DRR-and DRA-MSIPs) …

[PDF][PDF] Distributionally ambiguous multistage stochastic integer and disjunctive programs: Applications to sequential two-player interdiction games

S Kang, M Bansal - Virginia Tech, Blacksburg, VA, USA, Tech …, 2023 - researchgate.net
This paper studies the generalizations of multistage stochastic mixed-integer programs
(MSIPs) with distributional ambiguity, namely distributionally risk-receptive and risk-averse …

[引用][C] Algorithms for Distributionally Risk-Receptive and Robust Multistage Stochastic Integer Programs and Two-player Interdiction Games

S Kang, M Bansal