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- W2359558131 abstract "Through adopting the real number coding,simple genetic algorithms to multi-objective genetic algorithms is improved so that making the multi-objective genetic algorithms can overcome the vice of simple genetic algorithms,and the multi-objective genetic algorithms are applied in the optimization for parameters of HALE UAV.In the optimization question,the empty weight of UAV and the max ratio of lift to drag are as the performance objects,and the Pareto front is gotten.The conclusion can explain that the performance of HALE UAV is better than before after the optimal design and this method are fit for optimal design of HALE UAV and Multi-objective Genetic algorithm optimal design has some reference value for the research of the project of the HALE UAV." @default.
- W2359558131 created "2016-06-24" @default.
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- W2359558131 date "2007-01-01" @default.
- W2359558131 modified "2023-09-27" @default.
- W2359558131 title "Optimization Designing for HALE UAV" @default.
- W2359558131 hasPublicationYear "2007" @default.
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