An in-depth exploration of computational optimization set the foundation for a highly analytical session focused on solving complex routing problems through advanced algorithmic strategies and heuristic reasoning.

Led by Ms. Gabriella Polyák, Teaching Assistant at Subotica Technology College of Applied Sciences, Serbia, the lecture introduced students to the practical application of metaheuristic methods in addressing the Traveling Salesman Problem, using the Formula 1 race calendar as a structured, real-world case study.

By bridging theoretical models with applied scenarios, the session strengthened students’ understanding of optimization logic, decision-making under constraints, and the role of intelligent algorithms in designing efficient, scalable solutions for complex logistical systems.