DocumentCode
3348885
Title
Notice of Retraction
Enhancing ABC Optimization with Ai-Net Algorithm for solving project scheduling problem
Author
Renbin Xiao ; Tinggui Chen
Author_Institution
Inst. of Syst. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
3
fYear
2011
fDate
26-28 July 2011
Firstpage
1284
Lastpage
1288
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Project management is a complex decision making process involving the unrelenting pressures of time and cost. Firstly, the paper points out that multi-mode resource constrained multi-project scheduling problem(MRCMPSP) is one of typical multimodal optimization problems through analyzing its characteristics. The algorithm used to solving this problem should have powerful global and local searching abilities. Secondly, problem description conceptual model is presented. Then, enhancing artificial bee colony (ABC) optimization with artificial immune network algorithm (ai-Net) used to solve MRCMPSP is proposed. Finally, a numerical experiment derived from the project generator ProGen is given to test its performances. The results show the improved ABC proposed in this paper is superior to other algorithms.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Project management is a complex decision making process involving the unrelenting pressures of time and cost. Firstly, the paper points out that multi-mode resource constrained multi-project scheduling problem(MRCMPSP) is one of typical multimodal optimization problems through analyzing its characteristics. The algorithm used to solving this problem should have powerful global and local searching abilities. Secondly, problem description conceptual model is presented. Then, enhancing artificial bee colony (ABC) optimization with artificial immune network algorithm (ai-Net) used to solve MRCMPSP is proposed. Finally, a numerical experiment derived from the project generator ProGen is given to test its performances. The results show the improved ABC proposed in this paper is superior to other algorithms.
Keywords
artificial immune systems; decision making; scheduling; search problems; artificial bee colony optimization enhancement; artificial immune network algorithm; complex decision making process; global searching abilities; local searching abilities; multimode resource constrained multiproject scheduling problem; problem description conceptual model; project generator ProGen; project management; Job shop scheduling; Optimization; Profitability; Schedules; Search problems; artificial bee colony; artificial immune network algorithm; multimodal optimization; project scheduling problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022504
Filename
6022504
Link To Document