种群规模 meaning in English
population size
Examples
- ( 3 ) the span analysis of the genetic operators . 8 schemes were provided to analyze the relation of the genetic operators such as population size , cross probability , mutation probability . at last , a optimum group of genetic operators was selected
提出8种方案来分析遗传操作算子(种群规模、交叉概率和变异概率)之间的联系，并根据精度最高原则最终确定一组合适的遗传操作算子。 - Qga combining the genetic algorithm and the quantum information theory has a large search space with small population and a good global search capability , while image sparse decomposition based on mp is an optimal problem , so it can be fast solved by qga
量子遗传算法能用较小的种群规模实现较大的空间搜索，全局寻优能力强，基于匹配追踪的图像稀疏分解是最优化问题，因此可用量子遗传算法快速实现。 - Router congestion control strategies are also proposed . secondly , a new multicast routing algorithm based on double chromosomes genetic algorithm is realized . the simulation results show that this algorithm can get better convergent effect and select best routing under proper system parameters
然后重点介绍了本文提出的一种基于双倍体遗传算法的组播路由算法，仿真结果表明该算法能够在参数(种群规模、浙江工业大学硕士学位论文摘要交叉率及变异率)选择适当的情况下，取得较好的收敛效果，并可以确定最优路由。 - In the genetic process of reproduction , crossover and mutation of the chromosomes in this method , these operators pr , pc and pm are produced randomly within some space , the scale of population and all kinds of genetic probability are also adjusted randomly so that the diversity individuals of population is ensured . the ga of dynamic population scale passes more information of paternal chromosomes to the offspring , which is beneficial to search the global optimization or quasi - global optimization
该方法在染色体进行繁殖、交叉、突变的遗传过程中，在某一范围内随机选取p _ r ， p _ c ， p _ m ，动态调整种群规模，保证了种群个体的多样性；选择同父本分别进行三种遗传过程使得父本染色体中有更多的信息传递给子代，这有利于搜索全域最优解或准最优解。 - The coding of the variables that describe the problem is always large . in order to find the best optimal result , it needs the larger population and the longer course of optimization . that will spend much time and money , so the appropriate population size is a factor that affects the efficiency of genetic algorithm
在应用遗传算法时，初始种群的产生一般是随机的，它往往需要的编码长度很大，导致需要很大的种群规模或者很长的进化过程才能有较好的优化效果，这将耗费大量的计算时间和费用。