| Article ID: | iaor20043606 |
| Country: | China |
| Volume: | 28 |
| Issue: | 2 |
| Start Page Number: | 42 |
| End Page Number: | 44 |
| Publication Date: | Apr 2003 |
| Journal: | Journal of Kunming University of Science and Technology (Science and Technology) |
| Authors: | Fan Yujin, Li Zhekun, Bian Qingbiao, Xu Ping, Zhu Lijin |
| Keywords: | job shop, genetic algorithms |
This paper focuses on the application of genetic algorithms in job shop scheduling system. It presents a method of job shop scheduling based on genetic algorithms, whose results are compared with those from heuristic algorithms. The findings prove the effectiveness of the genetic algorithms.