并对应用此算子的克隆选择算法进行了讨论。
And then the clonal selection algorithm using this clonal operator is discussed.
提出了一种基于免疫克隆选择算法的特征选择方法。
A new feature selection algorithm based on Immune Clonal selection algorithm (ICSA) is proposed.
提出了利用改进的克隆选择算法发现模糊规则的方法。
This paper proposes a new method to find fuzzy rules using an improved clonal selection algorithm.
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。
The paper investigates the analog circuit fault diagnosis method based on clonal selection algorithm and artificial 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。
This paper put forward a new piece of intrusion detection algorithm which combines dynamic clonal selection and immune network.
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。
By integrating gene pool and high frequency aberrance into dynamic clonal selection algorithm, the efficiency of evolution can be improved.
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。
Further more, as the basic algorithm of immunity algorithm, the Clonal Selection algorithm has received very many of attention.
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。
The niche clonal selection algorithm is an algorithm that redesigns the evaluation function with regard to "peak leaking" in the clonal selection algorithm.
本文的主要研究工作包括以下几个方面：首先，介绍了人工免疫克隆选择算法。
The main research work in this paper focuses on the following aspects: Firstly, the Artificial Immune Clone Selection Algorithm is introduced.
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。
In this paper, the clonal selection mechanism of the immune system is used and modified to introduce an advanced algorithm to optimize functions.
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。
It can be concluded that clonal selection algorithm is convergent, because BCA is an abstract of the generic CSA.
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。
There are mainly two differences between the algorithm and the present clonal selection algorithm, the way of coding and mutation.
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。
By introducing the information processing mechanism of artificial immune systems and neural network to CSA, an immune clonal selection algorithm (ICSA) was proposed.
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 is a dense-based method and the low-dense data cubes are searched by clonal selection algorithm.
然后实际编程实现了改进的克隆选择算法，提出了信道分配问题的克隆选择算法解决方案。
This algorithm is also been realized by programming and a project to solve the channel assignment problem in cellular networks by the improved clone selection algorithm is put forward.
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。
Clonal Selection Algorithm (CSA) has been widely applied in intelligent computation field, but the theoretical analysis and research works regarding CSA are relatively lacking.
人工免疫克隆选择算法是受生物免疫系统启示而设计的新型算法，它已经成为智能计算大家庭的新成员。
Artificial immune Clone Selection algorithm is a novel algorithm which was inspired by the biological immune system. And it has become a new member of the family of intelligent algorithms.
这种革新算法能关于机器学习解复杂问题，实例结果表明，克隆选择算法对多峰值寻优问题有优良能力。
The algorithm is shown to be an evolutionary strategy capable of solving complex machine learning tasks, like multimode optimization.
另外，克隆选择算法所提供的好的初值可以改善MSD的性能，嵌入的MSD还改善了克隆选择算法的性能。
In addition, a better initial data estimate supplied by the CSA improves the performance of the MSD, and the embedded MSD improves the performance of the CSA.
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。
On the basis of immune algorithm, the authors propose a new method of text categorization called clonal selection algorithm based on antibody density.
第二种是基于免疫克隆选择算法的组播路由算法，该算法利用了免疫克隆选择算法全局搜索能力，提高组播树的性能。
The second one is multicast routing algorithm based on Clone Selection algorithm, Clone Selection algorithm is a global optimization algorithm and can improve the performance of multicast tree.
仿真实验表明，基于这种变异方法的免疫克隆选择算法可以很好地提高BP网络的学习速度，有效地避免算法过早收敛的问题。
The simulation results show that ICSA based on this method of mutation can improve the rapidity of learning BP network well and avoid prematurity effectively.
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）。
Aiming at the slow convergence problem of clonal selection algorithm, this paper proposes an adaptive parallel immune algorithm with orthomutation (APIA).
阐述了人工免疫算法的各种生物模型以及衍生出的各种算法，包括一般免疫算法、阴性选择算法、免疫学习算法、克隆选择算法等。
Several kinds of biology models and arithmetic derived from are expatiated, including common immune arithmetic, negative chosen arithmetic, immune study arithmetic, clone chosen arithmetic and so on.
通过借鉴生物免疫系统中的克隆选择原理和记忆机制，提出了一种基于人工免疫原理的混合聚类算法。
Inspired by the clone selection principle and memory mechanism of the vertebrate immune system, a new hybrid clustering method based on the artificial immune theory is presented.
提出一种基于生物免疫系统克隆选择机理和免疫网络理论的免疫算法。
The paper proposed an immune algorithm based on the mechanism exhibited in biological immune clone selection and the immune network theory.
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 proposes an antibody clone algorithm which based on the clonal selection theory of artificial immune system.
通过借鉴生物免疫系统中的克隆选择原理和记忆机制，提出了一种人工免疫c -均值混合聚类算法。
Inspired by the clone selection principle and memory mechanism of the vertebrate immune system, a hybrid algorithm combining C-means algorithm and artificial immune algorithm is presented.
通过借鉴生物免疫系统中的克隆选择原理和记忆机制，提出了一种人工免疫c -均值混合聚类算法。
Inspired by the clone selection principle and memory mechanism of the vertebrate immune system, a hybrid algorithm combining C-means algorithm and artificial immune algorithm is presented.
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