DocumentCode
1949549
Title
Notice of Retraction
Application of the SHGA basing on the CFPM to hypersonic vehicle wing-body location design optimization
Author
Gong Weijie ; Tang Shuo
Author_Institution
Coll. of Astronaut., Northwestern Polytech. Univ., Xi´an, China
Volume
8
fYear
2010
fDate
9-11 July 2010
Firstpage
259
Lastpage
264
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.
The Genetic Algorithms (GA) is a kind of modern intellective global optimization algorithm, but there are many shortcomings in some idiographic questions, and its local searching ability is worse. In this paper, aiming at the wing-body joint location of quasi-waverider hypersonic vehicle, improving on the Simple Genetic Algorithms (SGA), inducting the Constrained Flexible Polyhedron Method (CFPM), the Serial Hybrid Genetic Algorithm (SHGA) is presented. Optimizing the wing-body location with the SHGA, getting the Pareto optimal solution of the multi-objective optimization question, the best configuration is recommended. Comparing with the basic model configuration, the recommended configuration improves in the balancing, maneuverability and stability, hiding ability. The SHGA and results of this paper are valuable for hypersonic vehicle design.
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.
The Genetic Algorithms (GA) is a kind of modern intellective global optimization algorithm, but there are many shortcomings in some idiographic questions, and its local searching ability is worse. In this paper, aiming at the wing-body joint location of quasi-waverider hypersonic vehicle, improving on the Simple Genetic Algorithms (SGA), inducting the Constrained Flexible Polyhedron Method (CFPM), the Serial Hybrid Genetic Algorithm (SHGA) is presented. Optimizing the wing-body location with the SHGA, getting the Pareto optimal solution of the multi-objective optimization question, the best configuration is recommended. Comparing with the basic model configuration, the recommended configuration improves in the balancing, maneuverability and stability, hiding ability. The SHGA and results of this paper are valuable for hypersonic vehicle design.
Keywords
aircraft; genetic algorithms; CFPM; Pareto optimal solution; SHGA basing; constrained flexible polyhedron method; design optimization; hypersonic vehicle wing-body location; intellective global optimization; multi-objective optimization; serial hybrid genetic algorithm; wing-body joint location; Couplings; Optimization; multi-objective optimization; radar cross section; wing-body location;
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.2010.5564600
Filename
5564600
Link To Document