该算法充分利用了实数遗传算法的全局搜索能力和鲁棒性强等优点，从而能较快地得到最优解或准最优解。

This alogrithm makes the ful use of RGA 's advantages of real genetic alogrithm thereby obtaining the optimal solution or accurate solution as quickly as possible.

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与经典优化算法不同的特点在于，遗传算法是从多个初始点开始寻优，沿多路径搜索实现全局或准全局最优。

The GA uses a population of points at a time in contrast to the single point approach by the traditional ones, and will guarantee to find the global optimum.

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但ICP配准算法的收敛速度较慢，且不能保证收敛到全局最优点。

But the convergence speed is still slow and the ICP algorithm may not converge to a global minimum.

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