Article ID: | iaor19991159 |
Country: | Netherlands |
Volume: | 100 |
Issue: | 1 |
Start Page Number: | 134 |
End Page Number: | 141 |
Publication Date: | Jul 1997 |
Journal: | European Journal of Operational Research |
Authors: | Mori Masao, Tseng Ching Chih |
Keywords: | genetic algorithms |
This article considers a general class of nonpreemptive multi-mode resource-constrained project scheduling problems in which activity durations depend on committed renewable resources (multi-mode time resource tradeoff). We propose a genetic algorithm for these problems and compare it with a stochastic scheduling method proposed by Drexl and Gruenewald. Computational results show that the proposed genetic algorithm is superior to the stochastic scheduling method.