DocumentCode
175917
Title
Resource constrained project scheduling problem based on improved Ant Colony algorithm
Author
Jun Yan ; Chunyan Zhao ; Haiying Dong
Author_Institution
Lanzhou Jiaotong Univ., Lanzhou, China
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
1560
Lastpage
1563
Abstract
This article for resource-constrained project scheduling problem, first by establishing mathematical model and then using an improved Ant Colony algorithm for optimization, and simulation using MATLAB. Research results show that the improved Ant Colony algorithm for solving resource-constrained project scheduling problem is effective and feasible.
Keywords
ant colony optimisation; project management; scheduling; MATLAB simulation; improved ant colony algorithm; mathematical model; optimization; resource constrained project scheduling problem; Decision support systems; Improved Ant colony algorithm; Resource Constrained Project scheduling; Resource constraints; Total duration;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852415
Filename
6852415
Link To Document