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- A dynamic immune clonal selection algorithm with classified mutation is proposed based on floating point coding. 摘要基于浮点数编码,提出一种分级变异的动态免疫克隆选择优化算法。
- Based on the antibody clonal selection theory of immunology, the immune clonal selection algorithm(ICSA) to select the best initial shift register of M-sequences is presented here. 基于免疫学中的抗体克隆选择,提出了用免疫克隆算法(ICSA)来搜索M序列最优初始移位寄存器值。
- A new immune clonal clustering algorithm based on the clonal selection optimization of the artifical immune system is proposed for solving unsupervised classification and recognition problems. 摘要将人工免疫系统中的克隆选择优化应用于无监督分类与识别问题,提出了一种新的免疫克隆聚类算法。
- Immune clonal selection algorithm 免疫克隆选择算法
- immune clonal selection algorithm (ICSA) 免疫克隆选择算法
- immune clonal selection optimization 免疫克隆选择优化
- Optimum M-Sequence Search Using Immune Clonal Selection Algorithm 基于免疫克隆算法的最优M序列搜索
- Reduction of Rough Set Attribute Based on Immune Clone Selection 基于克隆选择的粗糙集属性约简方法
- Study of Multiuser Detection Technology Based on Immune Clonal Selection Algorithm 基于免疫克隆选择算法的多用户检测技术研究
- A Clone Selection Algorithm with niching strategy for Computer Immune System. 一种用于计算机免疫系统的小生境克隆选择算法。
- immune clonal selection 免疫克隆选择
- immune clonal selection (ICS) 免疫克隆选择
- 2. According to the dataset kddcup99 and immune clonal selection algorithm, a new rule genotype and phenotype presentation method is proposed, which decrease sharply the chromosome length and the search space. ??菔?菁痥ddcup99的特点,针对免疫克隆选择算法,我们提出了一种新的编码方法,大大的缩短了编码长度,同时减小了搜索空间。
- A chaotic-search-based immune algorithm (CSIA) is proposed by integrating chaos optimization algorithm and clonal selection algorithm. 摘要将混沌优化算法与克隆选择算法相结合,提出了一类基于混沌搜索的免疫算法。
- immune clone selection 克隆选择
- On the basis of immune algorithm, the authors propose a new method of text categorization called clonal selection algorithm based on antibody density. 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。
- The improved dynamic clonal selection algorithm is described in detail.An IDS model is established based on artificial immune system. 对改进算法进行了描述,建立了一种基于人工免疫的入侵检测模型,并进行了仿真验证。
- An immune algorithm is developed for job-shop schedule problem based on the clonal selection principle of the natural immune system. 基于免疫系统的克隆选择机制,提出一种求解车间作业调度问题的免疫算法。
- Based on the clonal selection principle and idiotypic immune network theory of biological immune system,a dynamic clonal adjustment strategy(DCAS)is proposed. 基于生物免疫的克隆选择和独特型免疫网络机理,提出了动态克隆调节策略(DCAS)。
- The algorithm refers to the clonal selection and immune network theory.Double mutation operators are adopted to improve global and local searching ability. 该算法借鉴免疫系统的克隆选择和免疫网络理论,采用双变异算子提高算法的全局和局部搜索能力。
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