| Article ID: | iaor20082591 |
| Country: | India |
| Volume: | 28 |
| Issue: | 2 |
| Start Page Number: | 299 |
| End Page Number: | 314 |
| Publication Date: | Mar 2007 |
| Journal: | Journal of Information & Optimization Sciences |
| Authors: | Aristidis Vlachos |
| Keywords: | scheduling, heuristics: ant systems |
Ant colony optimization meta-heuristic algorithms become popular as a powerful optimization tool suitable for a variety of hard combinatorial problems. This paper tackles the generator maintenance problem – a well-studied problem in electric power industry – using Max–Min ant system, an ant colony optimization algorithm which extends the basic ant system. The algorithmic approach is outlined as well as the results for a generator maintenance problem instance.