English translation for "随机搜索算法"
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- random searching rs
Related Translations:
搜索时间: search timetime of search
- Example Sentences:
| 1. | Evolutionary computation including genetic algorithms , evolutionary progranuning , evolution strategies and genetic programming , is a class of stochastic search algorithms
进化算法是借鉴生物自然选择和遗传机制而产生的随机搜索算法，主要包括遗传算法、进化规划、进化策略、遗传编程。 | | 2. | Genetic algorithm ( ga ) is a high - effective randomly searching algorithm , based on the nature evolution . it is a very effective algorithm to resolve np - completed combination optimization problem
遗传算法是一种借鉴于生物界自然选择和进化机制发展起来的高度并行、自适应的随机搜索算法，是一种非常有效的解决np完全的组合问题的方法。 | | 3. | In recent years , some non - linear stochastic optimistic algorithms are developed by biology , physics , artificial intelligence and nonlinear science , such as genetic algorithm , simulated annealing , tabu searching and chaos searching et al
近年来，基于生物学、物理学、人工智能和一些非线性科学而发展了一些具有全局优化性能且通用性强的随机搜索算法，如：遗传算法、模拟退火、禁忌搜索和混沌搜索等。 | | 4. | Considering the one - sidedness and inaccuracy of knowledge discovery only from single - color database , an approach is proposed to discover knowledge from 1331 groups of mix - color database with partial least - square regression , based on measuring and learning 400 groups of single - color database . by this method , the mean error decreases when converting from rgb to cmyk , the precision of color matching is improved , and the automatic and general problem in color matching is further solved
本文基于统计学习理论构造了一种快速自适应随机搜索算法,证明了算法的收敛性.给出了一种简易实用的宽带天线匹配设计新方法.应用该自适应算法进行天线匹配设计,不仅算法简单,易于编程实现;而且能够快速设计出具有较好性能的匹配网络,非常适用于各种短波、超短波天线的匹配设计问题 | | 5. | In this paper we study the key technology to the implementation of genetic algorithm and put forward a particular scheme of how to determine the parameters and operations when classify , including individual encoding , fitness function design , ga operators design , etc . thus , we give the method of how to mining classification rules using ga in theory
遗传算法是一种基于生物进化论和分子遗传学的全局随机搜索算法。本论文对应用遗传算法实现分类规则挖掘的关键技术进行了分析，包括个体编码、适应度函数的设计、遗传操作算子的设计等，从理论上阐述了基于遗传算法的分类规则挖掘的方法。 | | 6. | Therefore , the original optimization model is transformed into the problem of cross sectional area optimization . this paper had great research on the development of optimization algorithm by analyzing typical optimal search method , such as greedy algorithm , simulated annealing algorithm , neural network and genetic algorithm ( ga ) . according to the characteristics of truss structure , we choose genetic algorithm as the solution way
本文在研究优化算法发展过程的基础上，分析了典型的优化搜索方法：确定性算法如贪婪算法，随机搜索算法如模拟退火算法，人工智能算法如神经网络及遗传算法，根据桁架结构优化的特点，最终选择以遗传算法作为桁架结构优化设计的主要算法。 | | 7. | The reason why we integrate them is that k - means algorithm is a mountain climbing method , which is easy convergent to local extremum , and sensitive to the original condition , but its convergent speed is relatively fast , and that genetic algorithm is a random searching method , which can find the whole extremum in a rather big probability , and non - sensitive to the original condition , but its convergent speed relatively slow
之所以将：二者结合在一起，是回为k一均值算法是一种爬山法，容易收敛到冈部极小值，对初始条件较敏感，但收敛速度较快，而遗传算法是卞dl随机搜索算法，能够以较大概率找到全局最忧解，且对们始条件个敏感，但收敛速度较慢。 |
- Similar Words：
- "随机顺序服务" English translation, "随机顺序节目播放" English translation, "随机四次攻击" English translation, "随机搜索" English translation, "随机搜索法" English translation, "随机速度" English translation, "随机算法" English translation, "随机算子" English translation, "随机碎片" English translation, "随机索得率" English translation
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