And then the clonal selection algorithm using this clonal operator is discussed.
并对应用此算子的克隆选择算法进行了讨论。
A new feature selection algorithm based on Immune Clonal selection algorithm (ICSA) is proposed.
提出了一种基于免疫克隆选择算法的特征选择方法。
This paper proposes a new method to find fuzzy rules using an improved clonal selection algorithm.
提出了利用改进的克隆选择算法发现模糊规则的方法。
It is a dense-based method and the low-dense data cubes are searched by clonal selection algorithm.
这种方法使用了基于密度的孤立点挖掘的主要思想，用克隆选择算法进行数据立方体搜索。
It can be concluded that clonal selection algorithm is convergent, because BCA is an abstract of the generic CSA.
由于BCA是一般克隆选择算法的一种抽象，因此可以推断克隆选择算法的收敛性。
Further more, as the basic algorithm of immunity algorithm, the Clonal Selection algorithm has received very many of attention.
另外，作为免疫算法的一种基本算法，克隆选择算法受到了很多人的关注。
There are mainly two differences between the algorithm and the present clonal selection algorithm, the way of coding and mutation.
实现的免疫算法与现有克隆选择算法的主要区别有以下两方面，编码方式和变异方式。
The paper investigates the analog circuit fault diagnosis method based on clonal selection algorithm and artificial immune network.
最后研究了基于克隆选择算法和人工免疫网络的模拟故障诊断方法。
By integrating gene pool and high frequency aberrance into dynamic clonal selection algorithm, the efficiency of evolution can be improved.
将基因库和高频变异加入动态克隆选择算法，提高检测器的进化速率。
On the basis of immune algorithm, the authors propose a new method of text categorization called clonal selection algorithm based on antibody density.
借鉴了免疫系统的分类本质以及免疫系统的克隆选择和抗体浓度控制原理，提出了基于抗体浓度的克隆选择算法。
Aiming at the slow convergence problem of clonal selection algorithm, this paper proposes an adaptive parallel immune algorithm with orthomutation (APIA).
针对克隆选择算法收敛速度较慢的问题，对算法策略进行研究，提出了一种基于定向突变的自适应并行免疫算法（APIA）。
The niche clonal selection algorithm is an algorithm that redesigns the evaluation function with regard to "peak leaking" in the clonal selection algorithm.
针对克隆选择算法的漏峰问题，小生境克隆选择算法重新设计了评价函数。
By introducing the information processing mechanism of artificial immune systems and neural network to CSA, an immune clonal selection algorithm (ICSA) was proposed.
把人工免疫系统和神经网络系统的信息处理机制引入到CSA提出了免疫克隆选择算法。
Clonal Selection Algorithm (CSA) has been widely applied in intelligent computation field, but the theoretical analysis and research works regarding CSA are relatively lacking.
克隆选择算法(CSA)已经广泛应用于计算智能领域，而针对其理论方面的分析和研究工作相对较少。
This paper proposes an antibody clone algorithm which based on the clonal selection theory of artificial immune system.
在人工免疫系统的克隆选择原理基础上，提出了一种抗体克隆算法。
This paper put forward a new piece of intrusion detection algorithm which combines dynamic clonal selection and immune network.
提出了一种动态克隆选择算法和免疫网络相结合的新入侵检测算法。
Based on the algorithm for clonal selection theory of artificial immune algorithm.
该算法为基于克隆选择原理的人工免疫算法。
In this paper, the clonal selection mechanism of the immune system is used and modified to introduce an advanced algorithm to optimize functions.
论文利用免疫系统的克隆选择机制，提出一种用于函数优化的改进克隆选择算法。
The algorithm mainly utilized clonal selection and negative selection principles to learn the characteristics of antigens.
该方法主要利用克隆选择和阴性选择原理来学习抗原的特性，实现对抗体的促进和抑制。
The algorithm mainly utilized clonal selection and negative selection principles to learn the characteristics of antigens.
该方法主要利用克隆选择和阴性选择原理来学习抗原的特性，实现对抗体的促进和抑制。
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