Abstract
It is very difficult, to estimate exact values of time and cost of an activity in project scheduling process because many uncertain factors, such was weather, productivity level, human factors etc., dynamically, affect them during project implementation process. A GAs-based fully fuzzy optimal time-cost trade-off model is presented based on fuzzy sets and genetic algorithms (GAs). In tihs model all parameters and variables are characteristics by fuzzy numbers. And then GAs is adopted to search for the optimal solution to this model. The method solves the time-cost trade-off problems under an uncertain environment and is proved practicable through a giving example in ship building scheduling.
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Foundation item: Supported by the National High-Tech. R&D Program for CIMS (NO. 2003AA414060).
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Chao-guang, J., Zhuo-shang, J., Yan, L. et al. Research on the fully fuzzy time-cost trade-off based on genetic algorithms. J Mar. Sc. Appl. 4, 18–23 (2005). https://doi.org/10.1007/s11804-005-0016-1
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DOI: https://doi.org/10.1007/s11804-005-0016-1