random search
英 [ˈrændəm sɜːtʃ]
美 [ˈrændəm sɜːrtʃ]
网络 随机搜索; 随机寻找; 随机搜寻; 随机搜索方法; 象搜索方法
双语例句
- SetRandom also happens to place at least one purchase for every random search ( whether a purchase is specified or not).
SetRandom还至少对每次随机搜索（不论是否指定购买）设置一次购买。 - I guess she meant what she said. they're just doing a random search.
我猜她说话算话，他们只是在做一项抽查而已。 - A simple and efficient global optimization method, Accelerated Controlled Random Search ( ACRS), is presented in this paper.
本文给出一种简单、有效的全局优化方法&加速的控制随机搜索法。 - Two night shift warehouse pickers have been found with boxes of chocolate in their cars after a random search by security staff.
有一天，保安在例行检查中发现两个夜间仓库搬运工的车上有几箱巧克力。 - It can be found the random wedges in slope surface by using block theory and random search method.
进一步运用随机搜索方法与块体理论，搜索出边坡面上的随机楔体，进行楔体的稳定分析。 - Application of Random Spanning Tree in Distribution Network Reconfiguration Based on Random Search Methods
随机生成树方法在配网重构随机搜索算法中的应用 - Genetic algorithm is a high efficient and globally random search optimization method which simulates some processes of biological evolution.
遗传算法是一种高效的模拟生物进化过程的全局随机化搜索优化方法，它可直接得到所求解问题的全局最优解。 - As a newly developed random search method, TABU method has strong ability to solve complex combined problem.
作为近期发展起来的一种随机搜索方法，tabu搜索法有较强的解决复杂组合问题的能力。 - Methods The conformational analysis was carried out by random search and hybrid Monte Carlo method.
方法利用分子力学随机构象搜索法和混合MonteCarlo方法，对Titin蛋白PEVK片段中的PVAP基序进行构象搜索。 - The experiment result shows that problems of local optimization and premature constringency were resolved with the original group in GA adaptive random search.
试验结果表明，初始种群克服了GA自适应随机搜索局部最优和过早收敛问题。 - A new strategy is proposed for system optimization which is based on the genetic algorithm and the controlled random search.
提出一种基于遗传算法和受控随机搜索的系统优化策略。 - The general principle and improving measures of TABU random search method, which can be used in the global optimization for continue variables, are described in this paper. The reliability and searching efficiency of the method are verified by the standard mathematical functions.
本文阐述了适于全局寻优的TABU随机搜索法的基本原理及其改进措施，并用标准的实验函数对它的可靠性和寻优效率进行了验证。 - In this paper, both the theory and algorithm of random search approach are described in detail.
本文详尽地讲述了随机搜索法的基本概念及其算法，应用这个算法，完成了一套电机CAD优化设计系统； - After an analysis in this paper we know that, in a searching method, the lattice search is better than pure random search. And a crossover operator using the optimal point ( optimal point is a kind of lattice) is designed.
本文从理论上分析了在搜索技术中，用格点法比纯随机法好，并用格点理论（佳点是格点的一种）设计了遗传交叉算子。 - As for these problems resulted from the analysis and the heuristics method, another two methods ( namely particle swarm algorithm and the random search algorithm) are applied for the resource optimization in this paper.
本文在前人的研究基础上，针对传统解析法和启发式算法的若干问题，对资源优化问题采用了两种新的方法（微粒群算法和随机搜索算法）进行了应用研究。 - FNN is an important neural network structure. Hybrid genetic algorithms is a heuristic random search technology springing up. Both are used widely in intelligence optimization.
FNN是一种重要的神经网络结构，混合遗传算法是一种正在兴起的启发式随机搜索技术，两者在智能优化中得到了广泛的应用。 - Since the clonal operator can combine the evolutionary search and random search, and incorporate the global search with local search, by the clonal operation on candidate solutions, the new algorithm can quickly obtain the global optimum.
在新算法中，由于克隆算子能够将进化搜索与随机搜索、全局搜索和局部搜索相结合，因而通过对候选解进行克隆算子操作，能够快速得到全局最优解。 - This paper introduces and analyses a kind of new heuristic optimization method& simulated annealing algorithm. It is a general random search algorithm based on Monte-Carlo iterative improvement method.
本文分析和介绍了一种新的通用启发式优化方法&模拟退火算法，它是基于Monte-Carlo迭代求精法的一种随机搜索算法。 - In this paper, the initial value was structured with the random search characters of differential evolution algorithm and every parameter can be optimized with the character that differential evolution algorithm can converge overall optimization on any initial value.
本文结合差分进化算法的随机搜索特点来构造初始值，并结合差分进化算法对任意初始值均能收敛到全局最优解的特性进行了各参数的优化。 - Random search for distillation separation sequence has been implemented;
通过二叉树相邻切分点变换机制，实现了对精馏分离序列的随机搜索； - Coupling algorithm of simulated annealing algorithm and random search method for slope stability analysis
滑坡和边坡稳定性分析的模拟退火-随机搜索耦合算法 - The design and debugging and the research on practical application of the computer analysis program for the Geophone output signals were accomplished with the FFT spectrum analysis technology, the ratio spectrum correction and the random search algorithm.
采用快速傅立叶变换（FFT）频谱分析技术、比值校正方法和随机搜索算法，完成了检波器输出信号的计算机分析程序的设计、调试和实际应用研究。 - By studying the performance of the pure random search algorithm, the method based random search algorithm for estimating performance of intelligence optimization algorithms is proposed.
通过对纯随机搜索算法性能的研究，提出了基于纯随机搜索算法的性能评价方法。 - Particle Swarm Optimization is a random search algorithm based group collaboration by simulating the behavior of birds foraging.
微粒群优化算法（ParticleSwarmoptimization，PSO）是通过模拟鸟群觅食行为而发展起来的一种基于群体协作的随机搜索算法。 - Genetic algorithm in the solution space performed oriented and heuristic random search, and have higher searching efficiency.
遗传算法在解空间内进行的是一种有导向的和启发式的随机搜索，具有较高的搜索能力。 - Introduce independent random search and step adaptive search mechanism into GSO.
将自主随机搜索和步长自适应搜索机制引入萤火虫优化算法。 - The method used the wavelet transformation to enhance the convergence performance of SVM blind equalization algorithm, it have make full use of the global random search feature of SVM.
该方法利用小波变换的去相关性来提高支持向量机盲均衡算法的收敛性能，充分利用了支持向量机的全局随机搜索的特性。 - However the Genetic Algorithm is original from natural selection and the random search algorithm of natural inheritance, this capability of global research can optimize the structure and the learning rules of Neural Network.
而遗传算法是借鉴生物界自然选择和自然遗传机制的随机搜索算法，这种全局搜索能力可以优化神经网络的结构和学习规则。 - The array antenna with low side lobe is designed by employing the Taylor synthesis and density taper sparseness with an overall consideration of the radiation and scattering performance. The side lobe of the array antenna is optimized by random search.
在综合考虑辐射和散射特性的基础上利用泰勒综合和密度锥削稀疏技术设计了低副瓣电平阵列天线，并采用随机遍历算法对阵列天线副瓣进行了优化。 - The Genetic Algorithm is a random search and optimized solution that mimics the process of natural evolution and genetics.
遗传算法是一种基于生物自然选择与遗传机理的随机搜索与优化方法。