Project information

• Category: Designing Intelligent Agents - Swarm Intelligence
• Done for: University Module
• Project date: 2023
• Project URL: https://github.com/Daniel2tio/ACO-Simulation

A project investigating how a simulated colony of ants is affected from different aspects of its environment alongside other traits, aiming to answer the following question paper: How does the modification of a simulated ant colony affect the ants’ behavioural patterns?

The experiments demonstrated that modifications to the simulated ant colony can have a significant impact on the ants' behavioural patterns. By modifying the pheromone updating rule, we were able to increase the exploratory behaviour of the ants, resulting in the discovery of more efficient paths. However, this also came at the cost of reduced overall efficiency, highlighting the importance of striking a balance between exploration and exploitation in the ACO algorithm.