DocumentCode
532583
Title
Notice of Retraction
Application of improved adaptive genetic algorithm in integrated optimization design of active vibration isolation system
Author
Zhang Yi ; Zhang Hu ; Xia Min-min ; Fang Zi-fan
Author_Institution
Hubei Key Lab. of Hydroelectric Machinary Design & Maintenance, China Three Gorges Univ., Yichang, China
Volume
8
fYear
2010
fDate
22-24 Oct. 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.
This paper presents an improved adaptive genetic algorithm for integration optimization design of active vibration isolation system. During the operation of the algorithm, according to the individual fitness, the crossover rate and mutation rate make adaptive adjustments in accordance with the sigmoid function curve, and individuals of each generation are saved according to optimal preservation strategy. Computing results and simulation analysis show that the improved adaptive genetic algorithm has good computational efficiency and convergence effect, and it has good applicability and feasibility in the field of optimal design. The integrated optimization design which combines mechanical structural design and controller design can effectively improve the system performance.
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 presents an improved adaptive genetic algorithm for integration optimization design of active vibration isolation system. During the operation of the algorithm, according to the individual fitness, the crossover rate and mutation rate make adaptive adjustments in accordance with the sigmoid function curve, and individuals of each generation are saved according to optimal preservation strategy. Computing results and simulation analysis show that the improved adaptive genetic algorithm has good computational efficiency and convergence effect, and it has good applicability and feasibility in the field of optimal design. The integrated optimization design which combines mechanical structural design and controller design can effectively improve the system performance.
Keywords
convergence of numerical methods; design engineering; genetic algorithms; structural engineering; vibration isolation; active vibration isolation system; adaptive genetic algorithm; computational efficiency; controller design; convergence effect; crossover rate; integrated optimization design; mechanical structural design; mutation rate; sigmoid function curve; simulation analysis; Damping; Optimization; Rubber; Springs; Active vibration isolation system; Adaptive genetic algorithm; Integrated optimization Introduction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Type
conf
DOI
10.1109/ICCASM.2010.5620783
Filename
5620783
Link To Document