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

Weijie Gong, Shuo Tang

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
PublisherIEEE Computer Society
Pages259-264
Number of pages6
ISBN (Print)9781424455386
DOIs
StatePublished - 2010

Publication series

NameProceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Volume8

Keywords

  • Hypersonic vehicle
  • Multi-objective optimization
  • Radar cross section
  • Serial hybrid genetic algorithm
  • Wing-body location

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