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机构地区:[1]西安电子科技大学,西安710071
出 处:《火控雷达技术》2008年第2期80-84,共5页Fire Control Radar Technology
摘 要:提出一种新的搜索最优参差码的方法,该方法是以遗传算法为基础,在每一代群体中,执行完编码、复制、交叉、变异操作后,计算每一个体的适应度。然后每一个体按照一定的条件确定一组新的个体,随机抽取其中的一个个体,计算由其确定的适应度较原个体适应度的增量,决定是否由新抽取的个体代替原个体,达到终止条件时结束。该方法能够使得滤波器的第一零点尽可能地浅,是一种全局随机搜索算法,不依赖于初始种子都可以搜索到全局最优点,而且实现的个体平均适应度更高。A novel algorithm based on genetic algorithm tO search the optimal staggered code is presented. In the colony of each generation, the adaptability of each individual is calculated after coding, replication, overlapping and variation are carried out. Then each individual is used to determine a group of new individuals according to a certain condition, among which an individual is extracted randomly to calculate increment between the adaptability determined by this individual and that by the original individual so as to determine whether the new extracted individual is used to replace the original individual, and then it is ended if the ending condition is met. This method can make the first notch as shallow as possible. It is a global stochastic searching algorithm and can be used to search the optimum point of the global without depending the initial codes, and the realized individual average adaptability is higher.
分 类 号:TN713[电子电信—电路与系统] TP301.6[自动化与计算机技术—计算机系统结构]
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