助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   全局最优 在 建筑科学与工程 分类中 的翻译结果: 查询用时:0.52秒
图标索引 在分类学科中查询
所有学科
建筑科学与工程
自动化技术
数学
计算机软件及计算机应用
矿业工程
电力工业
地质学
船舶工业
工业通用技术及设备
更多类别查询

图标索引 历史查询
 

全局最优
相关语句
  global optimum
    Example of cross-beam shows convergence rate is rapid and continuous optimum solution approach global optimum.
    算例表明,收敛速度很快,且连续最优解接近于全局最优解。
短句来源
    This paper introduces genetic algorithm and compares it with traditional optimization algorithms first. Then, some advanced operators and techniques in GA are given. Afterwards an example is illustrated to show that the algorithm is effective in finding the global optimum.
    首先介绍了遗传算法 ,接着将遗传算法与传统优化算法作了比较 ,然后介绍几种遗传算法改进的策略 ,接着通过一个简单的例子验证了遗传算法是求解全局最优解的一种有效方法 ,同时介绍遗传算法在实际应用中经常使用的几种改进方法。
短句来源
    Astigmatic structural optimization design is a multi modal optimization problem. It is very difficult to obtain global optimum solution by traditional method because the optimization function behaves non lineally and its order is very high.
    抗震结构的优化设计是一个多峰函数优化问题 ,其优化模型的维数高 ,并存在非线性等复杂因素 ,用传统确定性的计算式方法不易得出全局最优解 .
短句来源
  “全局最优”译为未确定词的双语例句
    The real sample application analysis of so groups from 6 comparative surveying points indicates that the least square support vector machine is a kind of effective non-linear model establishment method,and that the particle swarm algorithm to optimize model parameters is able to guarantee the whole optimization.
    通过6个对比勘探点的50组试样实例应用分析,显示了最小二乘支持向量机是一种较为有效的非线性建模方法,粒子群优化算法进行模型参数优化能够保证全局最优
短句来源
    Most optimization algorithms used for parameter estimation in geotechnical engineering are gradient-type methods that have the disadvantages of being very sensitive to the initial guesses of parameters and being prone to convergence to local minima.
    基于梯度搜索方法的参数反演方法缺陷在于无法保证搜索到全局最优解,其主要原因在于观测误差的存在和模型误差的存在。 Tihonov(1963)证明,如果正问题(ForwardProblem)是线性的,那么,反问题的解存在、唯一并且连续地依赖于观测数据(稳定)。
短句来源
    The algorithm is a quadratic programming problem which can ensure the extreme result is the globally optimum result and it solve the inevitable local extremum problem of some Artificial Intelligence Methods.
    算法是一个二次优化问题,能够保证找到极值解是全局最优解,解决了在一些人工智能方法中无法避免的局部极值问题;
短句来源
    One is by regression analysis methods,the other is by time series forecast model with equal step length.
    模型参数采用交叉验证的方法进行优选,确保参数全局最优
短句来源
    Then, genetic algorithm-ant algorithm (GAAA) is discussed and verified by application on a project, genetic algorithm, ant colony algorithm and genetic algorithm-ant algorithm are seperatedly applied to network optimization problems and the results obtained from GAAA algorithm are better than those from GA and ACA;
    接着,论述了本文所采用的优化方法——GAAA算法,并结合管网优化算例,分别采用遗传算法、蚁群算法及GAAA算法进行计算分析,结果表明GAAA算法更容易实现全局最优解,且运算时间较短;
短句来源
更多       
查询“全局最优”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
为了更好的帮助您理解掌握查询词或其译词在地道英语中的实际用法,我们为您准备了出自英文原文的大量英语例句,供您参考。
  global optimum
However, the current layer optimization approach to power allocation cannot achieve the global optimum of the overall system performance.
      
Basing upon the frame of multi-level optimization, the intelligent agent technique was adopted to search for global optimum.
      
After a brief introduction of the subject, the paper focusses on the first step in any optimization procedure: the delineation of the parameter space, wherein the global optimum is to be found.
      
Finding the best possible conditions (the global optimum) is very difficult for chromatographers in practice.
      
By performing a set of nine pre-planned experiments conducted over the maximum working range for the system, global optimum separation conditions could be determined.
      
更多          


The application of Discrete Differential Dynamic programming (D. D. D. P.) to the design of drainage network is extensively studied and that how the overall optimum solution can be achieved is summarized in this article. A case study is given to demonstrate the valuable applicability of the approach.

本文介绍并推广了拟差动态规划(D.D.D.P.)在排水管网优化设计中的具体应用,并讨论了获得全局最优解的条件,经过理论分析和实例计算,证明此法具有较大的实用价值。

This paper Presents a genetic algorithm(GA)for ophmizing truss structural system with discrete design variables.It has over existing mathematical programming methods.The GA uses a population of points at a time in contrast to the aingle-point approach by the traditional ones.The optimal solution by GA is no longer dependent on initial search values.The GA will guarantee to find the global ophmum.The GA uses randomized crossover and mutation operators.It works on coded vdriables.GA does not require that the constraints...

This paper Presents a genetic algorithm(GA)for ophmizing truss structural system with discrete design variables.It has over existing mathematical programming methods.The GA uses a population of points at a time in contrast to the aingle-point approach by the traditional ones.The optimal solution by GA is no longer dependent on initial search values.The GA will guarantee to find the global ophmum.The GA uses randomized crossover and mutation operators.It works on coded vdriables.GA does not require that the constraints should be expressed explicitly in terms of design variables.It does not demand problem derivative.Genetic algorithm are best suited for structulal optimizations which have discrete vocables.

本文提出桁架结构系统优化设计的新方法──遗传算法,它不同于常规优化算法的特点在于,从多个初始点开始寻优.并采用交迭和变异算子避免过早地收敛到局部最优解,可获得全局最优解,且不受初始值影响。该算法不必求导计算,编程简单,快捷,它尤其适用于具有离散变量的结构优化设计问题。

A new optimization approach—Genetic Algorithms(GA) is adopted to solve the discrete structural geometrical optimal design problem which contains continous and discrete design varibles. A twenty five bar space truss with multiple variables and multiple load conditions is designed by using Genetic Algorithms. Steadystate GA is used to reduce the calculative times of structural reanalysis. The result shows that structural geometrical optimization by using GA is effective.

离散结构的形状优化问题,设计变量是不同性态的连续/离散混合变量,优化收敛困难。本文利用遗传算法实现其全局最优设计,以空间25杆桁架结构为例,进行了多变量、多工况的结构形状遗传优化设计。为减少结构重分析次数,引入了Steadystate算法。结果表明结构形状的遗传优化设计方法是可行的。

 
<< 更多相关文摘    
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关全局最优的内容
在知识搜索中查有关全局最优的内容
在数字搜索中查有关全局最优的内容
在概念知识元中查有关全局最优的内容
在学术趋势中查有关全局最优的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社