Webapp created to visualize ant colony optimization algorithms and how they work.
ACO is inspired by the foraging behavior of ants. At the core of this behavior is the indirect communication between the ants with the help of chemical pheromone trails, which enables them to find short paths between their nest and food sources. Blum exploited this characteristic of real ant colonies in ACO algorithms to solve global optimization problems.
First, run the husky prepare:
npm run prepare
then to open local server:
npm run dev