然后，给出了基于免疫克隆算法的具体求解设计和步骤。
Specfic design and solving steps based on immune clone algorithm was given.
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。
The experiment results demonstrate that the proposed algorithm is superior to several typical modified PSO algorithms and immune clone algorithm.
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。
A hybrid algorithm of combining heuristic recursive algorithm with immune clone algorithm was presented for solving the guillotine rectangular cutting problem.
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。
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.
对“一刀切”矩形件排样问题，提出一种将启发式递归与免疫克隆算法相结合的混合优化方法。
An optimal task scheduling model and an algorithm were brought forward, which combined the advantages of immune clonal algorithm and simulated annealing.
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.
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.
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.
基于克隆选择机理，提出了免疫克隆选择的入侵检测算法。
According to clone selection mechanism, intrusion detection based on Immune Clonal selection Algorithms is proposed.
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；
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.
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.
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.
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.
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.
该算法为基于克隆选择原理的人工免疫算法。
Based on the algorithm for clonal selection theory of artificial immune algorithm.
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.
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。
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.
针对这些现状，本文设计了基于周期变异免疫克隆优化的压电悬臂梁控制算法。
According to these situations, a new immune clonal algorithm based on the probability of cyclic mutation of piezoelectric cantilever beam is designed in the paper.
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。
An adaptive immunity algorithm is presented, which USES both Gauss mutation and the adaptive clone scale control.
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.
借鉴于生物免疫系统强大的防御能力，本文提出了一种免疫克隆(MCIAA)算法。
Enlightened by the defence ability of immune system, a novel immune colon index assignment algorithm (MCIAA) is presented.
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.
在算法进化过程中，引入克隆复制算子、免疫基因算子、克隆选择算子。
Clone copy operator, immune gene operator and clone selection operator were performed during the evolutionary.
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.
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.
为了改善组播树的性能，本章提出了基于免疫克隆选择的重构动态组播路由算法。
To improve the performance of multicast tree, a rearrangement dynamical multicast routing based on Clone Selection is proposed.
为了改善组播树的性能，本章提出了基于免疫克隆选择的重构动态组播路由算法。
To improve the performance of multicast tree, a rearrangement dynamical multicast routing based on Clone Selection is proposed.
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