DocumentCode
3423133
Title
Project scheduling based on genetic algorithm
Author
Ma, Ji
Author_Institution
Anhui Univ. of Finance & Econ., Bengbu, China
fYear
2009
fDate
17-19 Aug. 2009
Firstpage
434
Lastpage
439
Abstract
Genetic algorithms have been applied in various application domains and research fields related to biology, chemistry, especially computer science and engineering. In this paper, we will discuss the applications of generic algorithms in project scheduling. The problem is described, the algorithm is outlined, and the strengths and weaknesses are compared. Finally, the future trends in this direction are predicted.
Keywords
genetic algorithms; scheduling; evolutional computing; genetic algorithm; project scheduling; Application software; Biology; Chemistry; Cities and towns; Computer science; Evolution (biology); Genetic algorithms; Genetic programming; Organisms; Processor scheduling; Genetic algorithm; evolutional computing; project scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location
Nanchang
Print_ISBN
978-1-4244-4830-2
Type
conf
DOI
10.1109/GRC.2009.5255082
Filename
5255082
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