Intelligent hill climbing algorithm (IHCA) is a new way to solve the kinematic inverse solution.

智能登山法是一种新型的运动学逆解求取方法。

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Iterative TFIDF algorithm belongs to hill-climbing algorithm, it has the common problem of converging to local optimal value and sensitive to initial point.

迭代tfidf算法属于爬山算法，初始值的选取对精度影响较大，算法容易收敛到局部最优值。

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Local optimum of the permutation-based chromosomes is defined, and a hill-climbing algorithm is proposed to get the local optimum.

定义了基于排列的染色体的局部极值，并以此为基础构造了求极值的爬山算法。

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Local optimum of the permutation-based chromosomes is defined, and a hill-climbing algorithm is proposed to get the local optimum.

定义了基于排列的染色体的局部极值，并以此为基础构造了求极值的爬山算法。

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