[HTML][HTML] A survey on bilevel optimization under uncertainty
Bilevel optimization is a very active field of applied mathematics. The main reason is that
bilevel optimization problems can serve as a powerful tool for modeling hierarchical …
bilevel optimization problems can serve as a powerful tool for modeling hierarchical …
A survey of network interdiction models and algorithms
This paper discusses the development of interdiction optimization models and algorithms,
with an emphasis on mathematical programming techniques and future research challenges …
with an emphasis on mathematical programming techniques and future research challenges …
Interdiction games and monotonicity, with application to knapsack problems
Two-person interdiction games represent an important modeling concept for applications in
marketing, defending critical infrastructure, stop** nuclear weapons projects, or …
marketing, defending critical infrastructure, stop** nuclear weapons projects, or …
Chance-constrained optimization under limited distributional information: A review of reformulations based on sampling and distributional robustness
Chance-constrained programming (CCP) is one of the most difficult classes of optimization
problems that has attracted the attention of researchers since the 1950s. In this survey, we …
problems that has attracted the attention of researchers since the 1950s. In this survey, we …
The maximum clique interdiction problem
Given a graph G and an interdiction budget k, the Maximum Clique Interdiction Problem
asks to find a subset of at most k vertices to remove from G so that the size of the maximum …
asks to find a subset of at most k vertices to remove from G so that the size of the maximum …
The value of randomized strategies in distributionally robust risk-averse network interdiction problems
Conditional value at risk (CVaR) is widely used to account for the preferences of a risk-
averse agent in extreme loss scenarios. To study the effectiveness of randomization in …
averse agent in extreme loss scenarios. To study the effectiveness of randomization in …
A maximum-flow network interdiction problem in an uncertain environment under information asymmetry condition: Application to smuggling goods
We study the interdiction of smuggling network that arranging the activities of the police in
order to successfully interdict criminals in smuggling goods. This work contributes to the …
order to successfully interdict criminals in smuggling goods. This work contributes to the …
Stochastic maximum flow interdiction problems under heterogeneous risk preferences
We consider a generic maximum flow interdiction problem that involves a leader and a
follower who take actions in sequence. Given an interdiction budget, the leader destroys a …
follower who take actions in sequence. Given an interdiction budget, the leader destroys a …
Solving the shortest path interdiction problem via reinforcement learning
This paper addresses the shortest path interdiction problem, in which the leader aims to
maximise the length of the shortest path that the follower can traverse subject to a limited …
maximise the length of the shortest path that the follower can traverse subject to a limited …
Interdiction models for delaying adversarial attacks against critical information technology infrastructure
Abstract Information technology (IT) infrastructure relies on a globalized supply chain that is
vulnerable to numerous risks from adversarial attacks. It is important to protect IT …
vulnerable to numerous risks from adversarial attacks. It is important to protect IT …