| Article ID: | iaor20051041 |
| Country: | Netherlands |
| Volume: | 131 |
| Issue: | 1 |
| Start Page Number: | 373 |
| End Page Number: | 395 |
| Publication Date: | Oct 2004 |
| Journal: | Annals of Operations Research |
| Authors: | Dorigo Marco, Zlochin Mark, Birattari Mauro, Meuleau Nicolas |
| Keywords: | ant system |
In this paper we introduce model-based search as a unifying framework accommodating some recently proposed metaheuristics for combinatorial optimization such as ant colony optimization, stochastic gradient ascent, cross-entropy and estimation of distribution methods. We discuss similarities as well as distinctive features of each method and we propose some extensions.