A Study on Recent Advances on Ant Colony Optimization Algorithm

The Ant Colony Optimization (ACO) is a meta-heuristic approach to deal with hard combinatorial optimization problems. The fundamental factor in an ACO is a solution construction mechanism. It apes the decision-making processes of ant colonies as they hunt for food and find the most easily possible routes in a shorter span from their nests to available food sources. This paper is a review report on need of literature survey along with finding solutions to ant colony optimization with its algorithms in chronological order to find how advanced investigations help the process.