| Article ID: | iaor20051156 |
| Country: | Netherlands |
| Volume: | 131 |
| Issue: | 1 |
| Start Page Number: | 187 |
| End Page Number: | 201 |
| Publication Date: | Oct 2004 |
| Journal: | Annals of Operations Research |
| Authors: | Potvin Jean-Yves, Gendreau Michel, Louarn Franois-Xavier le |
| Keywords: | heuristics |
In this paper, the probabilistic nearest neighbor heuristic, which is at the core of classical ant colony systems for the Traveling Salesman Problem, is replaced by an alternative insertion procedure known as the GENI heuristic. The benefits provided by GENI-based ants are empirically demonstrated on a set of benchmark problems, through a comparison with the classical ant colony system and an iterated GENI heuristic.