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 …

This paper discusses the development of interdiction optimization models and algorithms,
with an emphasis on mathematical programming techniques and future research challenges …

The illicit wildlife trade is a pervasive and global problem that has far-reaching impacts on
both society and the environment. Aside from threatening numerous species around the …

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 …

This study presents a novel maximal reliable path interdiction (MRPI) problem in application
to traffic inspection and intercepting invading attackers. This problem differs from traditional …

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 …

Purpose The purpose of this paper is to develop a novel integrated supplier selection
approach incorporating decision maker's risk attitude using the artificial neural network …

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 …

This paper studies a capacitated facility location and protection problem against the
boundedly rational attacker that merges probabilistic fortification and interdiction, and …

We consider a new class of max flow network interdiction problems, where the defender is
able to introduce new arcs to the network after the attacker has made their interdiction …