Mastodawn

Another Swarm Intelligence demo put together in the nick of time for my Bio-Inspired AI and Optimization course this semester. This time Ant Colony Optimization (ACO), with both a layered DAG decision-variable encoding and the traditional TSP. Try it out!
https://tpavlic.github.io/asu-bioinspired-ai-and-optimization/ant_colony_optimization/aco_explorer.html

ACO / Ant System Explorer — interactive explainer

Explore Ant Colony Optimization: watch a pheromone-guided ant colony solve a layered combinatorial problem and a Travelling Salesman Problem, and see how stigmergic reinforcement drives collective search.

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Ted Pavlic (he/him)

And if you like #ants, I also put together this Ant Foraging Dynamics Explorer that explores how noisy and/or highly localized, one-on-one communication can make ants (and bees) more responsive to dynamic environments. Check out tabs 1 and 2 for details.
https://tpavlic.github.io/asu-bioinspired-ai-and-optimization/collective_behavior/ant_foraging_explorer.html

Ant Foraging Dynamics Explorer — interactive explainer

Explore how ants collectively select foraging trails through pheromone-based stigmergy: experiment with trail noise and Y-maze decision-making, then see how recruitment linearity shapes collective path selection.