DocumentCode
3589264
Title
Notice of Retraction
A hybrid population-based algorithm for constrained global programming
Author
Guocheng Zou ; Liping Jia ; Chi Luo ; Zou Jin
Author_Institution
Coll. of Math. & Inf. Sci., Leshan Normal Univ., Leshan, China
Volume
1
fYear
2010
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.
In this paper, a hybrid population-based algorithm (HPBA) for constrained global programming is studied. Firstly , an auxiliary function is constructed, the properties of this kind of auxiliary function are analyzed. Some nice properties of the constructed auxiliary function have proven by some theorems. Finally, the detailed steps of HPBA and numerical experiments for constrained global programming are presented. The effectiveness of HPBA is proven by comparing other existed algorithms under the same benchmark functions.
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.
In this paper, a hybrid population-based algorithm (HPBA) for constrained global programming is studied. Firstly , an auxiliary function is constructed, the properties of this kind of auxiliary function are analyzed. Some nice properties of the constructed auxiliary function have proven by some theorems. Finally, the detailed steps of HPBA and numerical experiments for constrained global programming are presented. The effectiveness of HPBA is proven by comparing other existed algorithms under the same benchmark functions.
Keywords
constraint handling; auxiliary function; constrained global programming; hybrid population-based algorithm; Algorithm design and analysis; Biology computing; Design methodology; Educational institutions; Functional programming; Information analysis; Information science; Mathematical programming; Mathematics; Stochastic processes; Global solution; Hybrid population-based algorithm; auxiliary function; constrained global programming;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5486217
Filename
5486217
Link To Document