Combined the GIS system and Gene Algorithm, the optimum decision of road construction can be made.
该文通过将地理信息系统与遗传算法相结合，进行交通系统道路选线优化决策。
The paper puts forward a method of crop spatial distribution optimization based on GIS and gene algorithm.
本文提出了一种以地理信息系统（GIS）为平台，遗传算法为空间布局优化模型的作物空间布局优化方法。
The authors put forward a method of cropping system spatial distribution optimization based on GIS and gene algorithm.
提出了一种以GIS为平台，遗传算法为优化模型的县域种植制度空间布局优化方法。
The Gene Algorithm is used to acquire the numerical solution of all variables and the function of time-varying weights.
最后采用遗传算法获得未知变量的数值解及组合预测时变权重表达式。
This paper proposes a generation method of path coverage test based on Gene Expression Programming(GEP) algorithm, compiler technology and Virtual Machine(VM).
提出一种基于基因表达式编程（GEP）算法、编译器技术、虚拟机技术的路径覆盖测试用例生成方法。
The massive data of gene expression combined with fit algorithm can help scientists establish the topology of the interactions, by which the system behavior can be simulated.
通过基因表达的大量数据，结合一定的分析和计算方法可以构建合适的基因网络拓扑结构模拟系统的行为。
Once an image enters the database, an algorithm converts the image to a "heat map" of gene expression.
一旦图片进入数据库，一种算法会将图片变成有关基因表达的一张“热量图”。
On the basis of research for anomaly detection in the biological immune principles, a gene immune detection algorithm for anomaly detection is provided.
基于生物免疫原理中的异常检测机制的研究，该文提出了一种用于异常检测的基因免疫检测算法。
According to these two algorithms, this thesis proposed a new gene function classification algorithm based on gene function tree.
依据这两个准则，本文提出了一种改进的基于基因功能树的基因功能分类算法。
A novel clustering algorithm based on Bayesian model was introduced into the analysis of large-scale gene expression profiles.
在大规模基因表达谱的数据分析中引入了一种全新的基于贝叶斯模型的聚类算法。
According to the characteristics of gene expression data, a high accurate density-based clustering algorithm called DENGENE was proposed.
根据基因表达数据的特点，提出一种高精度的基于密度的聚类算法DENGENE。
To address the deficiencies of most existing gene clustering algorithms, a novel gene projected clustering algorithm is proposed.
针对现有基因投影聚类算法的不足，提出一种有效的基因投影聚类算法。
By integrating gene pool and high frequency aberrance into dynamic clonal selection algorithm, the efficiency of evolution can be improved.
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。
GOA optimizes directly at the gene level and can learn from the gene of bad individuals. The entropy is used for the terminal criterion of the algorithm.
该算法直接在基因的层面上进行优化，能学习劣解的基因，并用信息熵作为结束条件的判据。
To bridge the problems, the document refers two new ideas, the gene pool and the gene reorganization, and improves the old algorithm.
本文在原有的遗传算法基础上提出了基因库和基因重组两个新的概念，对算法进行了改进。
Second, the modularity function which was used to assess the performance of clustering algorithm was applied to the colon cancer gene modules.
基于肿瘤基因表达谱研究了肿瘤相关基因及其功能模块的聚类算法，同时利用模块度评价了算法的有效性。
The algorithm has better efficiency when the group scale is slightly less than the biggest gene amount for selecting of each gene base.
当群体规模略小于每位基因座可选基因数的最大值时，算法的效率较高。
Based on such algorithm, we finally build the gene coding of general geometry feature and simple parts, and its algorithm is validated in CATIA5R8 platform.
利用该理论和算法建立了常见几何特征模型的基因编码和简单零件的基因编码，并通过CATIA5R8验证了多特征零件设计算法。
This thesis improves classification using gene expression data method in two aspects: feature selection and SVMs classification algorithm.
针对基于基因表达数据的分类，本文从特征基因选择和支持向量机分类算法两个方面进行了改进。
Gene Expression Programming (GEP) algorithm solves the complicated formula mining problems with simple coding.
基因表达式编程(GEP)算法采用简单编码方式解决了复杂的公式发现问题。
This paper proposed a new non-parametric algorithm for clustering gene expression data.
提出了一种用于基因表达数据的无参数聚类算法。
This thesis improves tumor samples classification of gene expression data in two aspects: classification algorithm and feature gene selection method.
针对基于基因表达数据的肿瘤样本分类，本文从分类算法和特征基因选取方法两个方面进行了改进。
This thesis improves tumor samples classification of gene expression data in two aspects: classification algorithm and feature gene selection method.
针对基于基因表达数据的肿瘤样本分类，本文从分类算法和特征基因选取方法两个方面进行了改进。
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