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量子遗传算法及其在图像盲分离中的应用研究

Quantum Genetic Algorithm and Its Application to Blind Image Separation

  • 摘要: 在改进Han的遗传量子算法的基础上,提出一种新的量子遗传算法.算法中采用多量子比特来编码多状态基因,构造了各个体之间的联合量子交叉,提出了通用的量子旋转门演化策略和动态调整旋转角机制.将量子遗传算法与独立分量分析算法相结合,提出一种图像信号的盲分离方法.仿真结果表明了该算法的有效性.

     

    Abstract: This paper presents mathematical principles and methods for the fiber path and machine path design of composite elbows, based on which a CAD system is developed. The main features of this system are: (1) Designing stable fiber paths fulfilling all the technical requirements for filament winding; (2) Generating laminate data for Finite Element Analysis; (3) Generating control data for four-axis winding machine; (4) Real-time simulating the fiber paths and machine paths. The fiber paths designed by this system are stable, non-bridging and uniformly cover the mandrel.

     

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