Title :
Project scheduling based on genetic algorithm
Author_Institution :
Anhui Univ. of Finance & Econ., Bengbu, China
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;
Conference_Titel :
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location :
Nanchang
Print_ISBN :
978-1-4244-4830-2
DOI :
10.1109/GRC.2009.5255082
