...构造适应度函数；关键算子；测试用例生成 [gap=1031]Key words：intelligent algorithm s；structure tree path coverage；construction of fitness function；pivotal operators；test ..
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并对约束条件的处理和适应度函数的构造进行了研究，给出了算法的基本步骤和流程框图。
Then study the constraints handling, construction of fitness function and the algorithms basal steps and flow chart is given.
所接收的混合信号首先被映射到高维的内核特征空间，和由内核特征空间上的适应度函数给出的特征矢量的基础构造。
The received mixing signals are first mapped to high-dimensional kernel feature space, and a feature vector basis given by the fitness function of the kernel feature space is constructed.
为了使相似性衡量尺度与样本特征的分布特点相适应，提出利用相似度分割特征集的混合核函数构造方法。
In order to adjust the similarity metrics to the distribution of the feature, a kernel function construction based on feature set division is proposed.
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