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

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.