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一种求解最短枝切长度问题的学习算法

, PP. 645-650

Keywords: 最短枝切长度问题,相位展开,组合优化,学习算法

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Abstract:

枝切法是一种高效的抗噪声相位展开方法,而最短枝切长度能够保证最优的相位展开结果。最短枝切长度问题属于组合优化问题,提出一种求解该问题的学习算法,将最短枝切长度问题的解视为个体,该算法通过个体之间的学习以及个体自身的变异实现进化,作用类似于遗传算法中的交叉算子以及变异算子。通过对多幅含噪声包裹相位图进行实验验证,该算法比传统的求解最短枝切长度问题的算法更快更优。

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