A New Approach for the Ant System

Francois Alberici, Lab. d’Automatique, CNRS, Institut de Productique, Besançon, France
Email: alberici@ens2m.fr

O. BarakatP. Lab. d’Automatique, CNRS, Institut de Productique, Besançon, France

P. Baptiste Lab. d’Automatique, CNRS, Institut de Productique, Besançon, France

The observation of anthills has been a source of inspiration in finding a new way of solving certain distributed problems. This general purpose algorithm is called the Ant System. In particular it seems to be well adapted to the travelling salesman problem. The aim of this study is firstly to simplify this approach and then to improve the overall dynamics of the system. After having presented the classical algorithm briefly, we define several new modules of decision for our agents. Then we show how such a universe can have different behaviours which we try to define precisely. Thus, the use of a simulation tool allows us to show how the combination of the previously defined modules leads to different speeds of overall convergence. In particular it allows us to put the emphasis on the role of the evaporation agent. Finally we discuss new ways of improving our algorithm and new fields where we could try to use it.