ROCA: A Dynamic Metaheuristic Framework for Route Optimization Using Context-Aware Ant Colony Systems
A route planner, modeled on how ant colonies find food, that turns a dispatcher's plain-language instructions into routes so emergency responders reach a scene faster. Tested on real Bay Area streets, it found 3.5% better routes, and it was shortlisted for the IJCCI 2026 Best Paper Award.
Accepted for publication in the proceedings of the 18th International Joint Conference on Computational Intelligence (IJCCI / ECTA 2026). The final authenticated version will be available online via Springer.