在计算机学习用户程序中，Hadoop已经作为处理大量GA个体的规模遗传算法的一种方法(潜在解决方案)。
In machine learning applications, Hadoop has been used as a way to scale genetic algorithms for processing large populations of GA individuals (potential solutions).
本文采用潜在语义索引（LSI）和遗传算法（GA）进行文本特征提取。
This paper selects the features of text by using LSI and GA(Genetic Algorithm).
采用遗传算法与常规非线性优化方法相结合的途径，进行试并典型曲线的自动拟合研究。
Through a hybrid way to combine Genetic Algorithms (GA) with convention nonlinear optimization, a study of automated match typical curve of well test has been done by this paper.
结果表明，将神经网络和遗传算法用于结构损伤识别是有效的、可行的。
The results show that the NN and GA can be used in structural damage identification system effectively.
在冷却过程数值模拟的基础上，采用遗传算法对该问题进行求解。
On the basis of numerical simulation of cooling process, we select GA to solve the problem.
对经典的遗传算法在计算中出现的随机性问题，则采用压缩映射遗传算法使计算过程渐近收敛。
For the randomness of classical GA which appears in calculation process, the contraction mapping GA is applied to make the calculation asymptotically convergent.
由于动态神经网络结构及权值确定困难，采用二进制与实数编码相结合的联合编码，用遗传算法优化得到神经网络结构及对应权值。
To rise above the difficulty of determining NN's structure and weights, the GA optimization algorithm is used to get them by combining binary encoding with real encoding.
采用改进的遗传算法，求解了具有屈曲约束，尤其截面积是离散型的桁架拓扑优化。
We present an improved genetic algorithm(GA) for topology optimization of a truss with discrete sizing and under local buckling constraints.
本文使用遗传算法对均匀弹性介质进行波速和震源函数的联合反演。
The seismic velocity and source function of homogeneously elastic media are inversed jointly by adopting Hybrid GA.
用神经网络计算遗传算法的适应度，对结构进行优化。
Using BP neural networks, the fitness of GA was calculated, on the basis of which the mechanical structure was optimized.
该算法采用两种虚拟种群的方法对常规遗传算法及浮点数遗传算法的种群实行改进。
The advanced GA USES two virtual population methodologies to process the population of standard binary and real code GA for RPO problem.
最后用一个简单的实例说明了使用遗传算法生成基本数据类型测试数据的过程。
At last we use a simple example to show the process of test data of basic type generation with GA.
说明用神经网络模型描述微囊制作参数与性能之间的关系，用遗传算法优化微囊制作工艺参数，能设计出性能最佳的微囊制作工艺参数。
The optimum process parameters could be obtained using ANN model to describe relationships between process parameters and performance and GA to optimize process parameters.
实例计算表明，其优化效果优于传统遗传算法。
Calculation examples show that the optimization effect of the improved algorithm is better than that of the traditional GA.
论文对遗传算法作曲中的知识表示进行了研究。
The thesis makes research on the knowledge representation of GA composing.
将BP神经网络和遗传算法相结合运用于快速设计的结构优化问题。
BP neural networks and GA were applied to the optimal design of mechanical structure.
针对人工神经网络的不足，本研究将遗传算法引入神经网络，实现两种算法的优势互补。
For solving the shortage of ANN, this paper introduces GA into it, USES the two operators alternately, thus accomplishes dominance complement of the two intellect optimization algorithms.
针对人工神经网络的不足，本研究将遗传算法引入神经网络，实现两种算法的优势互补。
For solving the shortage of ANN, this paper introduces GA into it, USES the two operators alternately, thus accomplishes dominance complement of the two intellect optimization algorithms.
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