Giovanni Campuzano is a Chilean Ph.D. Candidate at the Department of Industrial Engineering and Business Information Systems (IEBIS) at the University of Twente (Enschede, the Netherlands). He holds a master's (2018) and a bachelor's degree in Industrial Engineering (2018), University of Bío-Bío (Chile). Giovanni's research project addresses Last-Mile Logistics, involving autonomous vehicles, synchromodal transport, dynamic vehicle routing problems (VRP & DVRP), and optimal learning. In general, his research interests lie in the fields of logistics, operations research, mathematical programming, stochastic programming, reinforcement learning, and artificial intelligence.
- Campuzano, G., Lalla-Ruiz, E., & Mes, M. (2021, September). A Multi-Start VNS Algorithm for the TSP-D with Energy Constraints. In International Conference on Computational Logistics (pp. 393-409). Springer, Cham.
- Obreque, C., Paredes-Belmar, G., Miranda, P. A., Campuzano, G., & Gutiérrez-Jarpa, G. (2020). The generalized median tour problem: Modeling, solving and an application. IEEE Access, 8, 178097-178107.
- Campuzano, G., Obreque, C., & Aguayo, M. M. (2020). Accelerating the Miller–Tucker–Zemlin model for the asymmetric traveling salesman problem. Expert Systems with Applications, 148, 113229.