Hypersonic Vehicle Wing-body Joint Location Design Optimization Basing on Hybrid Genetic Algorithm
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.
Hybrid genetic algorithm hypersonic vehicle radar cross section multi-objective optimization .wing-body joint location
Gong Weijie Tang shuo
College of Astronautics Northwestern Polytechnical University Xian,China
国际会议
2010 International Conference on Educational and Network Technology(2010教育与网络技术国际会议 ICENT 2010)
秦皇岛
英文
318-322
2010-06-25(万方平台首次上网日期,不代表论文的发表时间)