DocumentCode
3191684
Title
An Ant Colony System for Solving Resource Leveling Problem
Author
Li, Zhou ; Wuliang, Peng ; Zhongliang, Zhang
Author_Institution
Sch. of Mech. Eng., Shenyang Ligong Univ., Shenyang, China
Volume
1
fYear
2010
fDate
11-12 May 2010
Firstpage
489
Lastpage
492
Abstract
To solve the resource constrained resource leveling problem(RLP), an algorithm based on ant colony system was developed. According to the characteristics of RLP and ant colony system, the solution construct diagram based permutation encoding was designed. The serial schedule generation scheme for RLP was developed to generate project plan from the permutation encoding. The ant colony system was employed to find the permutation encoding to generate the optimal project plan by serial generation schedule. The algorithm was coded in Java language, and a full factorial computational experiment was set up using the well-known standard instances in PSPLIB, the results reveal that the algorithm is effective for the RLP.
Keywords
optimisation; project management; scheduling; statistical analysis; Java language; ant colony system; optimal project plan; permutation encoding; resource constrained problem; resource leveling problem; serial generation schedule; Automation; Availability; Code standards; Costs; Encoding; Java; Mechanical engineering; Processor scheduling; Production; Scheduling algorithm; ant colony system; project scheduling; resource leveling problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-7279-6
Electronic_ISBN
978-1-4244-7280-2
Type
conf
DOI
10.1109/ICICTA.2010.694
Filename
5522690
Link To Document