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Content Provider | IEEE Xplore Digital Library |
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Author | Gong Weijie Tang Shuo |
Copyright Year | 2010 |
Description | Author affiliation: College of Astronautics, Northwestern Polytechnical University, Xi'an, China (Gong Weijie; Tang Shuo) |
Abstract | The wing-body joint location is key step in aircraft design which has close relationship with the balancing, maneuverability and stability, hiding ability. In this paper, aiming at the wing-body joint location of quasi-waverider hypersonic vehicle, improving on the Simple Genetic Algorithms(SGA), inducting the simulated annealing algorithm (SAA), the Hybrid Genetic Algorithm (HGA) comes into being. Optimizing the wing-body joint location with the HGA, getting the Pareto optimal solution, the best configuration is recommended. Comparing with the basic model configuration, the recommended configuration improves in the balancing, maneuverability and stability, hiding ability. |
Starting Page | 318 |
Ending Page | 322 |
File Size | 1786295 |
Page Count | 5 |
File Format | |
ISBN | 9781424476602 |
e-ISBN | 9781424476626 |
DOI | 10.1109/ICENT.2010.5532163 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-06-25 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Radar cross section Stability Educational technology Pareto optimization Aircraft propulsion Engines Vehicles Design optimization Genetic algorithms Hybrid genetic algorithm Hypersonic vehicle Space technology Wing-body joint location Simulated annealing Multi-objective optimization |
Content Type | Text |
Resource Type | Article |
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