Abstract
Project scheduling with resource constraints is one of the most challenging optimization problems because of the complexity in estimating the resource requirement. This work aims at the application of fuzzy Gantt chart (FGC) and genetic algorithm (GA) to calculate optimal activity in project scheduling. Activity durations are considered adjustable for the optimal resource assignment under the constraints. GA determines not only the activity priority but also the activity duration within resource constraints. Numerical results of an example show that this application can effectively reduce the maximum resource input from 94 to 40 men with similar project makespan.
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Liu, YC., Gao, HM., Yang, SM., Chuang, CY. (2014). Application of Genetic Algorithm and Fuzzy Gantt Chart to Project Scheduling with Resource Constraints. In: Huang, DS., Jo, KH., Wang, L. (eds) Intelligent Computing Methodologies. ICIC 2014. Lecture Notes in Computer Science(), vol 8589. Springer, Cham. https://doi.org/10.1007/978-3-319-09339-0_24
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DOI: https://doi.org/10.1007/978-3-319-09339-0_24
Publisher Name: Springer, Cham
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