对成长型股票建立了两阶段ebo价值评估模型，利用动态规划法求解最优股利支付路径及股票价值。

In this paper, we built a two period EBO valuation model, by which a dynamic programming was used for solving the optimized dividend payout path and stock value.

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后者是将跨接法与动态规划相结合，将整体影象匹配归结为求解最优路径问题。

The last respect is concerned with the combination of the featurebridging mode method with dynamic programming to reduce the problem of globalimage matching into one of finding the optimal path.

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通过个体编码方法，将GTSP转化为多段图最短路径问题，采用动态规划算法求解；

GTSP is changed into multi-segment map problem which is solved with dynamic programming algorithm by individual coding.

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