| Article ID: | iaor20021199 |
| Country: | China |
| Volume: | 18 |
| Issue: | 6 |
| Start Page Number: | 33 |
| End Page Number: | 37 |
| Publication Date: | Nov 2000 |
| Journal: | Systems Engineering |
| Authors: | Liu Kun, Yan Gangfeng |
| Keywords: | genetic algorithms |
A hybrid strategy algorithm, which is integrated with heuristic scheduling rules, is proposed for the problem. Theoretic analysis shows that the algorithm is of global convergence and the application demonstrates that it is of high speed and excellent efficiency and better than traditional algorithm.