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.
将二层规划目标简化为分段函数，提出基于记忆的改进克隆算法。
A simplified objective function and a modified clonal algorithm (CLONALG) based on memory are proposed.
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.
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.
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。
Clonal algorithm is adopted to educe optimized service restoration strategy, through selecting and clone antibody with high affinity.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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