Ant colony optimization algorithm: advantages, applications and challenges
COMPUTER MODELLING & NEW TECHNOLOGIES 2017 21(2) 69-70
Institute of Technology and Management Universe, Vadodara Gujarat, 391510
Ant Colony optimization is a technique for optimization that was introduced in early 1990’s. ACO algorithm models the behaviour of real ant colonies in establishing the shortest path between food sources and nests and this technique is applied on number of combinatorial optimization problem, communication networks and robotics. This paper introduces the advantages of using the ACO algorithms with the help of some problem examples and the challenges faced for solving the problems. Initially, the paper discusses about the biological inspiration and behaviour of ant colony and then relates with the real life problems.