程序始于基本数学过程的随机组合——加、减、乘、除和一些代数运算。
The program started with near-random combinations of basic mathematical processes - addition, subtraction, multiplication, division and a few algebraic operators.
特定知觉需要特定的神经元网络，而非极度活化神经元的随机组合。
A specific network of neurons is needed for a specific percept, not any random collection of neurons that become highly active.
针对漳村煤矿通讯站信息管理的要求，设计了一种随机组合查询与选项打印子系统。
Aimed at the requirements of information management at Zhangcun Colliery Communication Agency, the subsystem is designed for combination query and selection field printing.
就地取材的木材构成其地板边缘，天花板及墙壁，它们都是在大自然中发掘的元素的随机组合。
Locally sourced woods create the perch edges of floor, ceiling and wall, each stagger as the randomization of elements found in nature.
顺便提一句，加沙人，正如瑞典宜家的设计师，让他们自己的文化能够进行全球选择的随机组合。
Not incidentally, Gazans, like that Swedish Ikea designer, made their own culture from the bricolage of global choices.
组成数据库文件的算子的随机组合在不要求用户一次只能访问一条纪录的情况下应答大量的查询。
Arbitrary combinations of these operators on the files making up a database can answer a very large number of queries without requiring users to go into one record at a time processing.
机器人发现自己以前没有见过的东西就会把音节随机组合来创造一个单词，然后告诉另一个机器人刚刚创造的名字。
The bots basically find something that they have not seen in the past, create a word based on a random combination of syllables, and then tell the other robot the word that they have just created.
recombine()使用List::Utilshuffle()函数来随机组合亲本种群。
recombine() uses the List::Util shuffle() function to shuffle the parent population.
文章给出在不确定的荷载需求下机组组合问题的一些常见的随机规划模型和算法的综述。
In this paper we give a survey of several stochastic programming models and algorithms for unit commitment problem under uncertainty load demands.
通过对测试系统的MATLAB仿真实验和结果分析验证了随机聚焦粒子群算法用于求解机组组合问题的有效性和优越性。
By simulating and analysis of the results of test system using MATLAB, effectiveness and superiority of SFPSO for solving the unit commitment problem are confirmed.
通过对测试系统的MATLAB仿真实验和结果分析验证了随机聚焦粒子群算法用于求解机组组合问题的有效性和优越性。
By simulating and analysis of the results of test system using MATLAB, effectiveness and superiority of SFPSO for solving the unit commitment problem are confirmed.
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