In machine learning applications, Hadoop has been used as a way to scale genetic algorithms for processing large populations of GA individuals (potential solutions).
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)。
Genetic algorithms (GA) together with a boundary sampling strategy are proposed for optimal statistical design.
对于最优统计设计，本文提出了遗传算法(GA)以及边界抽样策略。
Genetic algorithms (GA) using ordinal strings must use special crossover operators such as PMX, CX and OX, which is very bother.
传统的序号编码遗传算法(GA)使用PMX、CX和OX等特殊的交叉算子，这些算子实施起来很麻烦。
By choosing appropriate operators and parameters, genetic algorithms (GA) can solve the traveling salesman problem (TSP) effectively.
通过选择合适的算子和参数，遗传算法(GA)可以有效求解旅行商问题(tsp)。
This paper proposed a new method for parameter estimation based on genetic algorithms (GA) for linear systems in the case of its coefficient matrix with uncertain disturbance.
对于线性系统，本文针对其系统矩阵a存在一类不确定性扰动的情况，提出了一种基于遗传算法(GA)的新的参数估计方法。
This dissertation presents the studies of genetic algorithms (GA) based model structure and parameters conjunct identification, PID optimization, and the engineering application method.
本论文是基于遗传算法(GA)的模型结构和参数共同辨识、PID参数的优化整定和工程应用方法的研究。
The sum and difference patterns as well as the directivity of the monopulse antenna arrays are optimized based on genetic algorithms (GA).
采用遗传算法来优化单脉冲阵列天线的和、差方向图和方向性系数。
In this paper, a new method is proposed to identifying the dynamic mathematical model parameters of an accelerometer using genetic algorithms (GA).
本文提出了一种用遗传算法(GA)辨识加速度传感器动态效学模型参数的新方法。
Premature convergence is an important factor affecting optimization results in genetic algorithms (GA).
早熟收敛问题是遗传算法中影响寻优效果的重要因素。
Using explicit dynamic FEM as a solver, process parameter optimization design on laser bending of rectangular sheet metals was conducted with genetic algorithms (GA).
提出了一种以动态显式有限元为解算器，并采用遗传算法对矩形板激光弯曲成形工艺参数进行优化设计的方法。
In this thesis, soft computing based control algorithms including genetic algorithms (GA), fuzzy control, neural networks (NN) and their different combinations are discussed systematically.
本论文对包含遗传算法、模糊逻辑控制和神经网络的软计算的智能控制及其几种不同结合方式做了较为系统的研究。
A new method ameliorating the calibration accuracy for flowmeter that is based on BP network - (genetic) algorithms (GA) is proposed.
提出一种基于神经网络(BP)-遗传算法(GA)的高精度流量仪表标定方法。
Applying genetic algorithms optimization principle to the Bowromi formula to determine proper a, B value. The result shows that GA is good for optimization and overall search.
将遗传算法的优化原理应用到鲍罗米公式中，用以确定合适的A、B值。其结果表明，遗传算法具有优良的全局搜索优化能力。
The most convergence analysis on genetic algorithms (GAs) is conducted currently in the sense of probabilistic convergence and based on ergodicity analysis on the GA Markovian chain.
遗传算法已有的收敛性分析大都是在概率收敛意义下考虑的且基于算法的遍历性分析。
An optimal PID controller is proposed based on fuzzy inference and genetic algorithms, which is called the optimal fuzzy GA PID controller.
提出了一种基于模糊推理与遗传算法的最优PID控制器的设计方法。
Genetic algorithms (GA) are optimization and machine learning algorithms inspired by processes of natural evolution.
遗传算法是由受生物进化过程启发而形成的进行优化和机器学习的算法。
A model for the generation expansion planning of power systems based on genetic algorithms (GEP GA) is presented in this paper.
提出一种基于遗传算法的电力系统电源规划模型。
This paper conveys the application of genetic algorithms (GA) which are used to improve unsupervised training and thereby increase the classification accuracy of remotely sensed data.
本文将遗传算法(GA)应用于非监督训练，提高了遥感数据的分类精度。
The reactive power optimization is formulated based on genetic algorithms (GA) in distribution network.
遗传算法是近年被广泛应用于配电网无功优化的一种新型的优化算法。
Based on genetic algorithms (GA) a sliding mode variable structure control method, for a class of nonlinear uncertain systems is proposed.
针对不确定性的非线性控制系统，提出了一种基于遗传算法的滑模变结构控制方法。
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.
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。
As the mathematic model of the wheeled mobile robot is very complicated, a GA (genetic algorithms) fuzzy neural network method is presented for its steering control.
针对数学模型复杂的轮式机器人的转向控制问题，使用基于遗传算法的模糊神经网络转向控制方法。
Based the successfully trained ANN model, genetic algorithms (GA) are used to optimize the input parameters of the model.
在神经网络训练的基础上，采用遗传算法优化神经网络的输入参数。
The parallel genetic algorithms (PGA) combine the high-speed parallel-ability of computer with inherent parallel-ability of GA, and improve greatly the efficiency of GA.
并行遗传算法把遗传算法隐含的并行性与计算机的高速并行性结合起来，极大地提高了搜索效率。
Combined Genetic Algorithms (ga) and back-propagation neural network (BP), an optimized GA-BP model was established to predict phosphorus content. Some data were chosen to train the network model.
结合遗传算法(GA)和误差反馈型神经网络(BP)，建立了优化的GA - BP神经网络预测模型，预测转炉炼钢过程钢液终点磷含量。
As a global optimized search means, Genetic Algorithms (GA) are computational models simulating the evolutionary mechanism of nature.
遗传算法(GA)是模拟自然界生物进化机制的计算模型，是一种全局优化搜索方法。
The optimization technology of process routes based on elitist selection Genetic Algorithms (GA) was put forward, and an application of optimization method in the process planning was studied.
提出了基于精英选择策略遗传算法的工艺优化技术，详细研究了遗传算法在工艺优化中的应用过程。
The previous approaches of generating structural test data are mostly based on variant Genetic Algorithms (GA).
现有的结构测试数据自动生成，多采用基于遗传算法的方法。
The previous approaches of generating structural test data are mostly based on variant Genetic Algorithms (GA).
现有的结构测试数据自动生成，多采用基于遗传算法的方法。
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