On the other hand, the path obtained by the artificial potential field method is optimized by the ant algorithm, which overcomes the local minima problem in the artificial potential field method.
另一方面，机器人的路径也同时得到优化，克服了人工势场法的局部极小问题。
The method solves the problem of local minima of ICP algorithm, and the described method is also useful in the field of comparative analysis for precision measurement.
采用两步法配准克服了标准ICP算法难以解决的局部最小问题，本算法也可广泛应用于精密测量时测量结果的比较分析。
It is more suitable than simulated annealing and genetic algorithms for solving the problem that presents many local minima. Experimental results show the method is efficient.
本算法比遗传算法和模拟退火算法更适合于解决具有很多局部最小值的冗余传感器系统费用优化的问题，仿真实验结果表明本算法是很有效的。
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