We describe an artificial ant colony capable of solving the travelling
salesman problem (TSP). Ants of the artificial colony are able to gen
erate successively shorter feasible tours by using information accumul
ated in the form of a pheromone trail deposited on the edges of the TS
P graph. Computer simulations demonstrate that the artificial ant colo
ny is capable of generating good solutions to both symmetric and asymm
etric instances of the TSP. The method is an example, like simulated a
nnealing, neural networks and evolutionary computation, of the success
ful use of a natural metaphor to design an optimization algorithm. (C)
1997 Elsevier Science Ireland Ltd.