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。
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。
Furthermore, clonal selection theory was established as the paradigm of modern immunology.
克隆选择学说的建立奠定了现代免疫学的理论框架。
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。
According to clone selection mechanism, intrusion detection based on Immune Clonal selection Algorithms is proposed.
基于克隆选择机理，提出了免疫克隆选择的入侵检测算法。
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。
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。
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。
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。
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。
Currently in the research of artificial immune system, the clonal selection principle is commonly used in designing immune recognition algorithms.
人工免疫系统研究中大多借鉴克隆选择原理来构建免疫识别算法。
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。
Based on the clonal selection principle and idiotypic immune network theory of biological immune system, a dynamic clonal adjustment strategy (DCAS) is proposed.
摘要基于生物免疫的克隆选择和独特型免疫网络机理，提出了动态克隆调节策略(DCAS)。
Based on the clonal selection principle and idiotypic immune network theory of biological immune system, a dynamic clonal adjustment strategy (DCAS) is proposed.
基于生物免疫的克隆选择和独特型免疫网络机理，提出了动态克隆调节策略(DCAS)。
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。
While the clonal selection principle is responsible for generating the memory cell population, the immune network theory prevents the population size from increasing quickly.
克隆选择用来产生抗原的记忆细胞群体，免疫网络理论则用来抑制该群体规模的快速增长。
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。
Based on biologic immune system, this paper summarizes the bionics mechanism of immune optimization, while clonal selection and immune network theories are discussed detailedly.
本文以生物免疫系统为基础，概述免疫优化的仿生机理，重点介绍了克隆选择和免疫网络理论。
The immunology principles on which Artificial immune System depends mainly include immune network theory, the principle of clonal selection and the principle of negative selection.
人工免疫系统所依据的免疫学原理主要包括免疫网络理论，克隆选择和阴性选择原理。
The immunology principles on which Artificial immune System depends mainly include immune network theory, the principle of clonal selection and the principle of negative selection.
人工免疫系统所依据的免疫学原理主要包括免疫网络理论，克隆选择和阴性选择原理。
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