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
fDate :
May 31 2014-June 2 2014
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;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852415
