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

Autonomous driving vehicle (ADV) that is ready to transform our society and economy, is in
desperate need of precise positioning over itself as well as surrounding environments …

In this study, we present a new formulation of the generalized flow-refueling location model
that takes vehicle range and trips between origin–destination pairs into account. The new …

The design of supply chain network usually directly influences the performance of location-
allocation of facilities, especially for the main parties. This paper firstly addresses the tri-level …

Supply systems are subject to disruptions whose impact may not remain confined, but might
actually propagate across the network. We consider the problem of optimally protecting a …

Human trafficking is a complex transnational problem for society and the global economy.
While researchers have studied this topic in a variety of contexts, including the criminology …

We present a framework to efficiently solve a multi-objective optimisation problem for cyber-
security defence. Facing an attacker who can mount a multi-stage attack (modelled using …

Disruptions rarely occur in supply chains, but their negative financial and technical impacts
make the recovery process very slow. In this paper, we propose a capacitated supply chain …

Abstract In recent years, Industrial Control Systems (ICS) have become increasingly
exposed to a wide range of cyber-physical attacks, having massive destructive …

A potential solution to reduce greenhouse gas (GHG) emissions in the transport sector is the
use of alternative fuel vehicles (AFV). As global GHG emission standards have been in …