Specfic design and solving steps based on immune clone algorithm was given.
然后，给出了基于免疫克隆算法的具体求解设计和步骤。
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 experiment results demonstrate that the proposed algorithm is superior to several typical modified PSO algorithms and immune clone algorithm.
实验结果表明该算法优于几种典型的粒子群算法和基本免疫克隆算法。
A hybrid algorithm of combining heuristic recursive algorithm with immune clone algorithm was presented for solving the guillotine rectangular cutting problem.
结合免疫克隆算法和模拟退火算法的优点，提出了一种网格任务调度优化模型和算法。
The immune clone annealing algorithm, which is designed by combining annealing tactic of simulated annealing algorithm and immune clone algorithm, is introduced to solve the proposed bi-level model.
将模拟退火算法中的退火策略引入到免疫克隆算法中，设计了求解模型的免疫克隆退火算法。
Clonal algorithm is adopted to educe optimized service restoration strategy, through selecting and clone antibody with high affinity.
最后应用克隆算法得出了优化的故障恢复策略，选择亲和力高的抗体并进行克隆。
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。
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。
An adaptive immunity algorithm is presented, which USES both Gauss mutation and the adaptive clone scale control.
给出了一种基于高斯变异与自适应克隆规模控制相结合的免疫算法的天线方向图综合方法。
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。
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。
The immune clone evolutionary(ICE) algorithm is presented to optimize the parameters of the fuzzy neural network(FNN) controller for the complex billet heating process.
针对复杂钢坯加热过程，提出了一种免疫克隆进化模糊神经网络（ICE-FNN）控制算法。首先根据现场样本数据建立过程神经网络模型；
On this basis, I analyze Immune Algorithm based on Clone, Immune Algorithm based on High and Low Position and Immune Algorithm based on Particle Swarm Optimization.
在对基本的算法的分析比较基础上，分析了一种基于克隆的免疫遗传算法、基于高低位变异的免疫算法、基于粒子群优化的免疫算法。
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。
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。
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