Notice of Retraction: Application of the SHGA basing on the CFPM to hypersonic vehicle wing-body location design optimization

Weijie Gong, Shuo Tang

科研成果: 书/报告/会议事项章节章节同行评审

摘要

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.

源语言英语
主期刊名Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
出版商IEEE Computer Society
259-264
页数6
ISBN(印刷版)9781424455386
DOI
出版状态已出版 - 2010

出版系列

姓名Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
8

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