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1)  random choice mechanism
随机选择机制
1.
Aiming at enhancing the versatility of global path planning of mobile robot,disparting the robot\'s working spaces that the goal was inside the obstacles and outside the obstacles,the pseudo-random proportion rule and the random choice mechanism were used in order to make the choice of ant colony\'s path incline goal and not get into local optimization.
为提高机器人全局路径规划的通用性,将机器人的环境地图分为目标点在障碍物内和障碍物外两种情况,采用了伪随机比例规则和随机选择机制,使蚂蚁下一节点的选择在倾向于目标点的同时又不会陷入局部最优解,既提高了蚂蚁的搜索效率又扩展了搜索范围,并采用最大-最小蚂蚁思想来限制信息素的强度以防止早熟收敛现象的发生。
2)  random selection
随机选择
1.
The application of random selection in ranked set sampling;
随机选择排序集抽样的应用
2.
A strong limit theorem on random selection for independent identical distribution random variables;
独立同分布随机序列随机选择的强极限定理的证明
3.
A strong limit theorem on random selection for the sequence of N-valued random variables;
N值随机序列的随机选择的强极限定理(英文)
3)  stochastic choice
随机选择
1.
Then,some maximal element theorems in stochastic choice problems and other theorems with respect to incomplete preference are obtained.
在不完全偏好意义下获得了随机选择问题中的极大元定理和其它一些定理,统一和推广了许多已知结果。
2.
Stochastic utility theory and multinomial logit model are used to analyze stochastic choice in demand market,while the influence of region and brand is treated as stochastic variable.
将产地、品牌差异的影响视为随机变量,运用随机效用理论和多项式logit模型研究需求市场上产品随机选择问题,运用Nash均衡方法分析生产商之间、零售商之间的竞争行为,分别得到了供应链网络各层均衡及整体均衡的条件、经济解释和变分不等式模型,最后给出了求解算法和具体算例。
3.
A market equilibrium model is proposed for differentiated multi product with stochastic choice, in which, multinomial logit is used as the probabilities of the stachastic choice and the supply of differentiated products is subjected to the total demand function of all products.
研究了单个市场、一种类型、多种规格的产品随机选择情况下的均衡模型。
4)  random choice method
随机选择法
5)  random entry selection
随机项选择
6)  random-select
随机化选择
补充资料:随机数和伪随机数


随机数和伪随机数
random and pseudo-randan numbers

随机数和伪随机数【喇间佣1 al川牌”山一喇闭..m.山娜;cJI了,a如曰e”nce,口oc月卿成.以叹“c月a】 数亡。(特别,二进制数:。),其顺序出现,满足某种统计正则性(见概率论(probability Uleory)).人们是这样区别随机数(mndomn切mbe比)和伪随机数(PSeudo一mn由mn切mbe岛)的,前者由随机的装置来生成,而后者是用算术算法构造的.总是假设(出于较好或较差的理由)所得(或所构造)的序列具有频率性质,这些性质对于具有分布函数F(z)的某随机变量心独立实现的一个序列来说是“典型的”;因此人们称作根据规律F(习分布的(独立的)随机数.最经常使用的例子为:在区间【O,l]上均匀分布的随机数亡。,尸(亡。
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