The ergodicity advantage of chaotic variables optimizes the fitness function of genetic algorithm, and effectively avoids the appearance of premature.
利用混沌变量的遍历性特点对遗传算法的适应度函数进行优化，避免遗传算法出现早熟现象。
参考来源 - 基于混沌遗传的Ad Hoc网络组播路由算法?·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
Secondly, we give an ergodicity algorithm to unknown environment as tree structure.
其次，本文提出了基于树结构的未知环境遍历算法。
Chaotic signal has the properties of ergodicity, nonperiodicity, continuous broadband power spectra, and noise like etc.
混沌信号具有遍历性、非周期、连续宽带频谱、似噪声的特性。
Firstly, review a lot of relevant papers and conclude recent ergodicity algorithm and algorithm of detecting moving objects.
首先，通过大量的文献阅读，总结了现有遍历算法和移动物体检测算法。
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