function optimization造句
例句与造句
- The idea and the method of designing control rulers and membership functions optimization are introduced with emphasis in the paper . the optimal or sub - optimal control rulers and membership functions are obtained by using adaptive control method
文章重点地阐述了对隶属函数和控制规则进行优化的概念和方法，并详细地介绍了自适应模糊控制器的设计方法和对它的性能分析。 - Ga has been successfully used in a lot of fields such as the travelling salesman problem , scheduling , function optimization , machine learning etc . at the same time dsp also has been successfully used in many fields because of its flexibility , programmable
同时数字信号处理器所具有的系统构成灵活、可编程、适用面广的特点，使其在众多领域成为不可或缺的数字处理的计算引擎。 - To alleviate this difficulty , we developed a hybrid approach that combines ga with simplex method in function optimization . in the same way , the hybrid simplex - genetic method is applied to solve the continuous minimax optimization
力学优化算法解决了增广ragange法的子优化命题，最后给出了一种新的增广lagrangc乘子算法，它可有效地解决目标和约束条件函数可微的单目标优化命题。 - This thesis focuses on tabu search algorithms used for the function optimizations . the improvement ideas are proposed and the effectiveness is shown with the testing of both theoretical mathematical functions and a practical magnetic filed optimization problem
本论文着眼于禁忌搜索算法在函数优化中的应用，提出了有效的改进方案，并通过数学函数和实际的电磁场优化问题测试其改进效果。 - The complexity of the high - dimension function is considered , and a two - level mec algorithm under windows is developed . the first - level mec is adopted to optimize the parameters of the second - level mec , while the second - level one is used to solve function optimization
考虑了高维函数的复杂性，并且设计了windows下的双层mec算法，即用第一级mec来优化用于函数优化的(第二级) mec中参数。 - It's difficult to find function optimization in a sentence. 用function optimization造句挺难的
- In fact , the model calibration is a function optimization problem , which searches the best or better parameter values in their acceptable ranges to attain a match between the observed and simulated distribution or distributions of a dependent variable or variables
在模型参数物理意义的范围内，使模拟结果与实际观测值之间误差最小的参数估计问题本质上属于函数优化的研究范畴，是一个仿真优化问题。 - The velocity change of negative pressure wave generated by pipeline leak during the process of transmission is analyzed , the formula of wave velocity changing with temperature is deduced , and the pipeline leak positioning problem is transformed into a function optimization problem
摘要通过分析管道泄漏产生的负压波在传播过程中速度的变化，推导出波速随温度变化的公式，并将管道泄漏点定位问题转化为函数优化问题。 - The writer gives out a way , in which we take the magnitude of the independence between signals as parameters of some special kinds of functions , to measure the independence of signals from function optimization , and the values of these functions reflect the magnitude of the independence
本文从函数优化的角度出发,视统计独立性强弱为函数的“变量大小” ,构造一些特殊的函数,通过其函数值来反映独立性的强弱,其实用性有待检验。 - Multi - parent genetic algorithm ( mga ) is a heuristic search algorithm . mga has not been developed for a long time , but it has been preliminarily applied in many function optimization problem and many combinatorical optimization problem including nondeterministic polynomial completeness
多亲遗传算法是一种启发式搜索算法，它的发展时间并不长，但已经初步成功地应用到了一些函数优化问题、组合优化问题中，包括许多np完全问题。 - First of all , grouping of particle swarm is proceeded concretely ; and then the layering broadcasting delayed mechanism is designed and used to the iterative optimization process of particle swarm ; finally , the algorithm simulation of multi - dimensional and multi - modal function optimization is performed
首先对微粒群进行具体分组，然后设计了用于微粒群迭代寻优求解的分层延迟通讯模式，最后针对高维多峰函数优化问题进行了数值仿真实验。 - As a kind of intelligent algorithm , it can be used to solve various optimization problems and shows great potential in practice . now , it has been widely applied in many other areas , such as function optimization , artificial neural network and fuzzy system control
它的主要特点是简单、收敛速度较快、没有很多参数需要调整,且不需要梯度信息,在工程实践中表现出巨大潜力,现已广泛应用于函数优化、神经网络、模糊系统控制、模式识别等多个领域。 - At the beginning of this paper , the traditional control algorithm in agc and avc of hydropower station and the ic theory , especially the genetic algorithm ( ga ) theory , are stated . a better method based on ga , which is used to solve nonlinear function optimization under the multi - restrictive conditions , is introduced , and the float encoded genetic algorithm ( fga ) based on direct comparison - proportional method ( dcpm ) is detailed here
本文在介绍了已应用于水电站厂内agc 、 avc控制软件的算法和智能控制理论、特别是遗传算法理论的基础上，引入了一种基于遗传算法的用来求解多约束条件混合非线性函数优化问题的较好方法，并详细介绍了这种基于直接比较?比例方法的浮点数编码遗传算法( dcpm - fga ) 。 - Combines the parallel character of multiple population pseudo parallel evolution with inner stochastic character of chaos movement , applying different chaotic disturbance strategies , taking chaos ' variable measure map mechanism into population initialization or middle populations fulfilled function optimization
把多群体伪并行进化的并行性和混沌运动的内在随机性结合起来，利用不同的混沌扰动策略，把混沌变尺度映射机理应用到种群初始化和中间群体的优化进化实现函数优化。 - In this paper we investigate the application problem of genetic algorithm to function optimization , production precedence and automation . we study multi - maxim function in the domain of function optimization , job - shop in the domain of production precedence and the pid parameters selecting in the domain of automation . for solving multi - maxim function , we comes up with a hybrid genetic algorithm through analyzing characteristics of pattern search and genetic algorithm
本文研究了遗传算法在函数优化、生产调度和自动控制三方面的应用，在函数优化方面，详细研究了求多峰函数的最大值问题；在生产调度方面，讨论了作业车间调度问题；在自动控制方面，探讨了pid控制的pid参数寻优问题。 - On the base of analysing the shortcoming of genetic algotithms , three improved techniques for genetic algorithms are bring forward in this paper : fuzzy penalty fitness function , random dislocation arithmetic crossover , fuzzy parameter adjust policy , which improve genetic algorithms capability of global convergence and convergent speed . at the same time , the improved genetic algorithms are applied to nonlinear mixed integer problems and complex nonlinear function optimization
在分析实数型遗传算法不足的基础上，本文研究了遗传算法的关键技术，分别提出了模糊惩罚评价函数、随机错位算术杂交算子、模糊自适应参数控制等改进技术，以提高遗传算法的全局收敛性和收敛速度，并应用于求解非线性混合整数规划问题和复杂高维的函数优化问题。