| Article ID: | iaor2002667 |
| Country: | China |
| Volume: | 21 |
| Issue: | 3 |
| Start Page Number: | 257 |
| End Page Number: | 259 |
| Publication Date: | Jun 2000 |
| Journal: | Journal of Northeastern University |
| Authors: | Tang Lixin, Liu Shixin, Wang Mengguang, Nie Yiyong |
| Keywords: | genetic algorithms |
Using the characteristics of the discrete time/cost trade-off problem (DTCTP) in project networks, an effective genetic algorithm for solving the project deadline problem was developed. A strategy to obtain an effective time/cost curve is presented based on this genetic algorithm. The code scheme, genetic operators and algorithm structure are also described. The computational results for a large number of project instances reveal that the genetic algorithm is effective for the DTCTP.