| Article ID: | iaor1999375 |
| Country: | United States |
| Volume: | 9 |
| Issue: | 3 |
| Start Page Number: | 231 |
| End Page Number: | 250 |
| Publication Date: | Jun 1997 |
| Journal: | INFORMS Journal On Computing |
| Authors: | Reeves Colin R. |
| Keywords: | artificial intelligence |
Genetic algorithms have become increasingly popular as a means of solving hard combinatorial optimization problems of the type familiar in operations research. This feature article will consider what genetic algorithms have achieved in this area, discuss some of the factors that influence their success or failure, and offer a guide for operations researchers who want to get the best out of them.