| Article ID: | iaor19971008 |
| Country: | France |
| Volume: | 30 |
| Issue: | 4 |
| Start Page Number: | 373 |
| End Page Number: | 398 |
| Publication Date: | Oct 1996 |
| Journal: | RAIRO Operations Research |
| Authors: | Ferland Jacques A., Fleurent Charles |
| Keywords: | genetic algorithms |
For many years, genetic algorithms have been adapted to solve various combinatorial optimization problems. However, in most cases, pure genetic algorithms are outperformed by other heuristic methods. In this paper, the authors examine some recent hybrid approaches in which the use of genetic operators improves the performance of existing heuristic procedures.