search query: @journal_id 949 / total: 746
reference: 12 / 746
| Author: | Lee, C. Y. Piramuthu, S. Tsai, Y. K. |
| Title: | Job shop scheduling with a genetic algorithm and machine learning (Maschinenbelegungsplanung) |
| Journal: | International Journal of Production Research
1997 : APR, VOL. 35:4, p. 1171-1191 |
| Index terms: | |
| Freeterms: | FERTIGUNGSSTEUERUNG, FERTIGUNGSPROGRAMMPLANUNG |
| Language: | eng |
| Abstract: | Researchers have used various artificial intelligence techniques to solve job shop scheduling problems: expert systems , genetic algorithms and machine learning. This paper proposes to combine complementarily the strengths of genetic algorithms and induced decision trees, a machine learning technique, to develop a job shop scheduling system. Empirical results, using machine learning for releasing jobs into the shopfloor and a genetic algorithm to dispatch jobs at each machine, are promising. |
SCIMA