Project scheduling problem with fuzzy activity duration times

Author

Ke, Hua ; Baoding Liu

Author_Institution

Dept. of Math. Sci., Tsinghua Univ., Beijing, China

Volume

2

fYear

2004

fDate

25-29 July 2004

Firstpage

819

Abstract

This paper considers a type of project scheduling problem with objective of minimizing the total cost, in which project activities have fuzzy duration times and loan is taken into account in the total cost. According to some optimization goal, a fuzzy chance-constrained programming is built to model the project scheduling problem. Moreover, the technique of fuzzy simulation and genetic algorithm are integrated to design a hybrid intelligent algorithm to solve the fuzzy model. Finally, a simple numerical example is given to illustrate the effectiveness of the algorithm.

Keywords

constraint handling; cost accounting; fuzzy set theory; genetic algorithms; minimisation; scheduling; fuzzy activity duration times; fuzzy chance constrained programming; fuzzy model; fuzzy simulation technique; genetic algorithm; hybrid intelligent algorithm design; optimization; project scheduling problem; total cost minimisation; Algorithm design and analysis; Availability; Cost function; Fuzzy set theory; Genetic algorithms; Probability distribution; Resource management; Scheduling algorithm; Stochastic processes; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on

ISSN

1098-7584

Print_ISBN

0-7803-8353-2

Type

conf

DOI

10.1109/FUZZY.2004.1375507

Filename

1375507