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Ant Colony — Python
ACO metaheuristic visualized in pure Python
2021–2023 · University · Algorithms
- Python
- Pygame
- Algorithms
- ACO
- Optimization
- Data Structures
Overview
A Python implementation of the Ant Colony Optimization algorithm rendered with Pygame. Ants lay pheromone trails that evaporate over time; the colony collectively converges on shortest paths through stigmergic reinforcement.
Goal & Motivation
Build an accessible, pedagogically clear implementation of ACO — a classic metaheuristic — and use visual feedback to make the algorithm's convergence properties immediately intuitive.
Corporate Relevance
ACO and related metaheuristics are applied in real-world vehicle routing, warehouse picking, and network topology optimization. Python proficiency, algorithmic thinking, and data-structure design are equally relevant to backend scripting and ML pipeline engineering.