DocumentCode
250156
Title
An Ant Colony Optimization Algorithm for Software Project Management
Author
Wanjiang Han ; Xiaoyan Zhang ; Heyang Jiang ; Weijian Li
Author_Institution
Sch. of Software Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2014
fDate
20-23 Dec. 2014
Firstpage
19
Lastpage
23
Abstract
This paper deals with the scheduling problem of software project management (SPM) and present an approach. It addresses this problem by means of the development of an ant colony optimization-based algorithm. This new approach is for resource-constrained project scheduling problem (RCPSP) in PERT networks and Gantt Chart. The goal is to minimize cost and duration. The results show that this approach can be used to solve the Software Project Scheduling Problem.
Keywords
ant colony optimisation; project management; scheduling; software development management; Gantt chart; PERT networks; RCPSP; SPM; ant colony optimization algorithm; cost reduction; duration reduction; resource-constrained project scheduling problem; software project management; software project scheduling problem; Algorithm design and analysis; Ant colony optimization; Computers; Processor scheduling; Scheduling; Software; Software algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation (CA), 2014 7th Conference on
Conference_Location
Haikou
Print_ISBN
978-1-4799-8205-9
Type
conf
DOI
10.1109/CA.2014.12
Filename
7026253
Link To Document