The MAA is a visionary master program with an innovative and open structure, mixing diverse disciplines, shaping professionals capable of producing theoretical & practical solutions towards responsive cities, architecture & technology.


ANT FORAGING PATTERNS / ANT COLONY OPTIMISATION

Ant foraging pattern is the foraging cycle of ants in which ants leave their nest to find a food source until an optimal path is found and then convey all of the food to their nest. In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths … Read more

Swarm Intelligence

This project explores the application of swarm intelligence in simulating fish behavior evading predators. Utilizing computational algorithms inspired by natural swarms, the simulation aims to mimic the collective movement patterns of fish, optimizing their escape routes. By implementing principles such as repulsion, alignment, and cohesion, the model simulates the coordinated response of a fish swarm … Read more