Article ID: | iaor20023191 |
Country: | China |
Volume: | 21 |
Issue: | 4 |
Start Page Number: | 24 |
End Page Number: | 26 |
Publication Date: | Apr 2001 |
Journal: | Systems Engineering Theory & Practice |
Authors: | Liu Shixin, Wang Mengguang |
Keywords: | genetic algorithms |
We develop a genetic algorithm for the resource leveling problem in project scheduling based on the problem characteristics and describe the code scheme, genetic operator and algorithm structure. By computational study for a standard set of project instances which has been widely used, we show that the genetic algorithm is effective for the resource leveling problem.