| Article ID: | iaor20023579 |
| Country: | China |
| Volume: | 27 |
| Issue: | 3 |
| Start Page Number: | 381 |
| End Page Number: | 386 |
| Publication Date: | May 2001 |
| Journal: | Acta Automatica Sinica |
| Authors: | Wu Cheng, Liu Min, Yin Wenjun |
| Keywords: | genetic algorithms |
The scheduling objective is to minimize the total cost of makespan, tardy time and overstock time, and a genetic algorithm (GA) is presented for optimizing the schedule. The research describes aspects of the GA such as problem modeling, coding, crossover and mutation.