Through the modification of selection strategy,an adaptive crossover and mutation probability is designed to realize precise registration of thermal images.
通过改进选择策略,设计了自适应的交叉和变异概率,从而实现热波图像的精确配准。
参考来源 - 基于遗传算法的红外热波图像配准技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The influence of mutation probability on the mean first hitting time is analyzed theoretically.
从理论上分析了变异概率对平均首次命中时间的影响。
The core idea of the algorithm is to use the cloud model theory to generate crossover and mutation probability.
算法的核心思想在于利用云模型理论生成交叉和变异概率。
We proved the convergence of GA which we proposed adaptive fitness functions, adaptive crossover probability and adaptive mutation probability.
最后，对提出的自适应交叉概率和自适应变异概率利用遗传算法的公理化理论进行了收敛性的证明。
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