๐บ Optimized Delivery Network
๐ Colony Convergence
๐งฌ How ACO Mirrors Ant Behaviour
Pheromone (ฮฑ)
How strongly ants follow existing trails. High ฮฑ = exploit known good routes. Low ฮฑ = explore more randomly. Mirrors real ant chemical signalling.
How strongly ants follow existing trails. High ฮฑ = exploit known good routes. Low ฮฑ = explore more randomly. Mirrors real ant chemical signalling.
Heuristic (ฮฒ)
How much ants prefer shorter edges. High ฮฒ = ants greedily pick nearest city. Balancing ฮฑ and ฮฒ is the core of ACO tuning.
How much ants prefer shorter edges. High ฮฒ = ants greedily pick nearest city. Balancing ฮฑ and ฮฒ is the core of ACO tuning.
Evaporation
Pheromone decays over time โ prevents the colony from getting stuck in local optima. Too low = stagnation. Too high = forgets good paths.
Pheromone decays over time โ prevents the colony from getting stuck in local optima. Too low = stagnation. Too high = forgets good paths.
Real-World Impact
Optimizing delivery routes by 10โ15% across logistics networks reduces thousands of tonnes of COโ annually.
Optimizing delivery routes by 10โ15% across logistics networks reduces thousands of tonnes of COโ annually.