Title :
A GA-Based Approach for Solving Fuzzy Project Scheduling
Author :
Liu, Yan ; Zhao, Sheng-Li ; Zhang, Xi-ping ; Du, Guang-Qian
Author_Institution :
China Univ. of Min. & Technol., Beijing
Abstract :
In this paper, a new optimization method based on GA for solving resource-constraint project scheduling with uncertain activity duration is proposed. Fuzzy set theory is used to represent the uncertainties of activity duration. A searching technique using genetic algorithm is adopted to search for the minimum of fuzzy project makespan. A case with uncertain activity duration is used to illustrate the performance of the proposed method.
Keywords :
fuzzy set theory; genetic algorithms; scheduling; search problems; GA-based approach; fuzzy project scheduling; fuzzy set theory; optimization method; searching technique; uncertain activity duration; Civil engineering; Cybernetics; Educational institutions; Fuzzy set theory; Fuzzy sets; Genetic algorithms; Machine learning; Project management; Resource management; Uncertainty; Fuzzy set theory; Genetic algorithm; Project scheduling;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370690
