Article ID: | iaor19971541 |
Country: | Netherlands |
Volume: | 63 |
Issue: | 1 |
Start Page Number: | 189 |
End Page Number: | 207 |
Publication Date: | May 1996 |
Journal: | Annals of Operations Research |
Authors: | Gendreau Michel, Soriano Patrick |
Keywords: | heuristics |
The purpose of this study is to develop some understanding of the benefits that can be derived from the inclusion of diversification strategies in tabu search methods. To do so, the authors discuss the implementation of various diversification strategies in several tabu search heuristics developed for the maximum clique problem. Computational results on a large set of randomly generated test problems are reported and compared to assess the impact of these techniques on solution quality and running time.