By borrowing the ideas of population from genetic algorithms, we introduce an adaptive random search in quasi_Monte Carlo method (AQMC) for global optimization.
借用遗传算法中种群的概念，介绍了一种解全局优化的拟蒙特卡罗自适应搜索算法。
It introduces the natural number coding method, adaptive probabilities of crossover and mutation, and furthermore, makes use of heuristic information to improve search efficiency effectively.
算法采用自然数编码，自适应的交叉变异算子，并融入启发式信息有效地提高了搜索效率。
GA is an adaptive and global optimizing probability search method. It directly USES the objective function as search message.
遗传算法是一种自适应全局优化概率搜索算法，它直接以目标函数作为搜索信息。
Based on the research and comparison of different methods, this paper explored the similarity search method of time series which is adaptive to the characteristics of hydrological data.
论文在深入研究和比较各种方法的基础上，探索适合水文数据特点的时间序列相似性搜索的方法。
Based on the research and comparison of different methods, this paper explored the similarity search method of time series which is adaptive to the characteristics of hydrological data.
论文在深入研究和比较各种方法的基础上，探索适合水文数据特点的时间序列相似性搜索的方法。
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