The main research work in this paper focuses on the following aspects: Firstly, the Artificial Immune Clone Selection Algorithm is introduced.
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。
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.
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。
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.
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。
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.
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。
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。
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。
The paper proposed an immune algorithm based on the mechanism exhibited in biological immune clone selection and the immune network theory.
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。
Based on clone selection theory and typical partition clustering approach, a new clustering algorithm is proposed.
将克隆选择原理同典型的划分聚类方法结合起来，提出一种克隆选择聚类算法。
Based on clone selection theory and typical partition clustering approach, a new clustering algorithm is proposed.
将克隆选择原理同典型的划分聚类方法结合起来，提出一种克隆选择聚类算法。
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