This document provides a brief introduction to Ant Colony Algorithms.
Real ants are capable of finding the shortest path from their nest to a food
source without visual sensing. They are also able to adapt to changes in the
environment. Ant Colony Algorithms try to make use of these real ant abilities to
solve various optimization problems. After introducing the basic idea behind the
algorithms we take a look at how an Ant Colony Algorithm can be used
to solve the Travelling Salesman Problem. We then introduce some practical and
more complex applications and conclude by providing useful links for further reading.