DocumentCode
526525
Title
Notice of Retraction
Stochastic disturbance particle swarm optimization algorithm based On attractive operator
Author
Xianjun Shen ; Caixia Chen ; Jincai Yang ; Zhifeng Chi
Author_Institution
Dept. of Comput. Sci., Central China Normal Univ., Wuhan, China
Volume
8
fYear
2010
fDate
9-11 July 2010
Firstpage
15
Lastpage
18
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.
This paper introduced a stochastic disturbance and an attractive operator into the standard particle swarm optimization (SPSO) algorithm to improve its performance in a predefined number of generations. It termed as stochastic disturbance particle swarm optimization based on attractive operator (SDPSO). In this paper, the concept of attractive operator is recommended that every particle has its own flight direction during the process of optimization, thus it increase the possibility of finding out a potential optimum, moreover, a stochastic disturbance is presented that aim to prevent the particles trapping into local optimum. The experiment results show that the SDPSO algorithm provides better solutions than the SPSO algorithm.
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.
This paper introduced a stochastic disturbance and an attractive operator into the standard particle swarm optimization (SPSO) algorithm to improve its performance in a predefined number of generations. It termed as stochastic disturbance particle swarm optimization based on attractive operator (SDPSO). In this paper, the concept of attractive operator is recommended that every particle has its own flight direction during the process of optimization, thus it increase the possibility of finding out a potential optimum, moreover, a stochastic disturbance is presented that aim to prevent the particles trapping into local optimum. The experiment results show that the SDPSO algorithm provides better solutions than the SPSO algorithm.
Keywords
mathematical operators; particle swarm optimisation; stochastic programming; attractive operator; particles trapping; standard particle swarm optimization algorithm; stochastic disturbance particle swarm optimization algorithm; Equations; Attractive operator; Particle swarm optimization; Stochastic disturbance;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5564476
Filename
5564476
Link To Document