Ant Colony Optimization Algorithms: Introduction & its Recent Trends
Chaitanya Natani, Shruti Bijawat · Zenodo (CERN European Organization for Nuclear Research) · 2018
Ant Colony Optimization (ACO) algorithms be-long to the class of meta-heuristic approach to solve hard combinational optimization problems and were introduced in the 1990's. The exhilarating source of ant colony optimization is the foraging demeanor of the real ant colonies. This demeanor of ants is exploited in artificial ant colonies for the search of comparative solutions to discrete optimization problems. ACO algorithms were given by DiCaro & M.Dorigo, in the year 1996. This paper is a review of Ant Colony Optimization with its algorithms in horological order with its recent trends.