Cyclic routing problems are a well-researched category of combinatorial problems in
Operations Research (OR). They involve finding an optimal cycle (route), starting from an …

This paper presents a study on the application of Autonomous Delivery Vehicles (ADVs) in
last-mile delivery for urban logistics. Specifically, we focus on a routing problem using multi …

In this paper, we develop a three-stage stochastic network-based optimization model for the
provision of 5G services with Unmanned Aerial Vehicles (UAVs) in the disaster management …

The urban logistics delivery planning problems are a crucial component of urban spatial
decision analysis. Most studies typically focus on traditional urban logistics delivery planning …

To promote the adoption of recyclable express packaging (REP), this paper focuses on
providing a realistic simulation-optimization system for establishing an efficient, green, and …

This paper presents a hierarchical location and sizing problem in the presence of joint
partial coverage and unreliable facilities. We consider a 3-level hierarchical production …

Advancements in technology have positioned Unmanned Aerial Vehicles (UAVs) as current
and future computational paradigms. This novel artificial intelligence tool facilitates various …

Drones have started to be used for surveillance within the cities, visually scanning the
predefined zones, quickly detecting abnormal states such as fires, accidents, and pollution …

Particle swarm optimization (PSO) is a meta-heuristic algorithm that can be used to solve
different real-world optimization problems. However, PSO suffers from some intrinsic …

Flooding, a pervasive and severe natural disaster, significantly damages environments and
infrastructure and endangers human lives. In affected regions, disruptions to transportation …