DocumentCode
3436830
Title
Notice of Retraction
Particle swarm optimization and application to valve dynamic characteristics optimization
Author
Jingdong Liu ; Tianxiang Yu ; Peng Jin
Author_Institution
Sch. of Aeronaut., Northwestern Polytech. Univ., Xi´an, China
fYear
2013
fDate
15-18 July 2013
Firstpage
465
Lastpage
468
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.
Due to the nonlinear relationship between the valve dynamic characteristics with the influence factors, the particle swarm optimization is investigated for valve dynamic characteristics optimization problem. Based on the mass-spring-dashpot system kinetic equation and pneumatic system kinetic equation, the non-return valve is investigated with various optimization objectives. The result demonstrates that the particle swarm optimization method is efficient for the optimization problem.
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.
Due to the nonlinear relationship between the valve dynamic characteristics with the influence factors, the particle swarm optimization is investigated for valve dynamic characteristics optimization problem. Based on the mass-spring-dashpot system kinetic equation and pneumatic system kinetic equation, the non-return valve is investigated with various optimization objectives. The result demonstrates that the particle swarm optimization method is efficient for the optimization problem.
Keywords
particle swarm optimisation; pneumatic systems; springs (mechanical); valves; mass-spring-dashpot system kinetic equation; nonreturn valves; particle swarm optimization; pneumatic system kinetic equation; valve dynamic characteristics optimization; Aerodynamics; Equations; Kinetic theory; Mathematical model; Optimization; Particle swarm optimization; Valves; dynamic characteristics; kinetic equation; particle swarm optimization; valve;
fLanguage
English
Publisher
ieee
Conference_Titel
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4799-1014-4
Type
conf
DOI
10.1109/QR2MSE.2013.6625624
Filename
6625624
Link To Document