SUS:随机通用抽样
“Stochastic Universal Sampling”是一种在数学及相关学术领域中广泛使用的抽样方法,常缩写为SUS,以便于快速书写与交流。它的中文译名为“随机通用抽样”,适用于进化算法和概率统计等场景,能够有效平衡选择压力与种群多样性。
Stochastic Universal Sampling具体释义
Stochastic Universal Sampling的英文发音
例句
- An improved genetic algorithm is present for ALB problem, which uses a scaling fitness method, a stochastic universal sampling selection way, linear-changed crossover and mutation probabilities.
- 算法采用缩放适应度法、随机普遍取样的选择策略、线性可变的杂交和变异算子。
- In this paper, Mahalanobis distance based on statistical numeric characteristic is applied to design the fitness function, and the selection which based on stochastic universal sampling is used to construct the GA algorithm, and the experiments prove the effectiveness of the algorithm.
- 实验证明了本文提出的根据统计数字特征的马氏距离设计适应度函数,基于随机遍历抽样选择策略的遗传算法的有效性。
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