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.
为此，引入一个具有更好适应性的度量(称为分离度)和模糊加权技术构造新目标函数。
Therefore, the better adaptive margin metric (named separation) and the fuzzy weighting technique were introduced for developing the new optimal objective function.
在遗传操作过程中，改进了编码方法，构造的适应度函数不但以一定的零陷深度为目标，还考虑副瓣的增益维持在一定的水平。
In the process of genetic manipulation, encoding method is improved, fitness function is constructed not only considering nulling depth, but also the side lobe gain to maintain a certain level.
提出了根据目标方向图，通过构造特殊适应度函数的方法达到优化目标。
A novel approach was proposed, in this approach, with the target of the pattern of wave, via constructing extremely function of Fitness approaches optimized target.
PSO算法采用二维数组编码方法，构造了相应的适应度函数，编制相应的计算机求解程序。
The 2-D array coding method is applied and the corresponding fitness function in PSO is constructed for solving the model. The program for calculation by means of computer is developed.
PSO算法采用二维数组编码方法，构造了相应的适应度函数，编制相应的计算机求解程序。
The 2-D array coding method is applied and the corresponding fitness function in PSO is constructed for solving the model. The program for calculation by means of computer is developed.
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