差分进化算法的相关内容

文章 2017-11-11 来自：开发者社区

差分进化算法 (Differential Evolution)

Differential Evolution（DE）是由Storn等人于1995年提出的，和其它演化算法一样，DE是一种模拟生物进化的随机模型，通过反复迭代，使得那些适应环境的个体被保存了下来。但相比于进化算法，DE保留了基于种群的全局搜索策略，采用实数编码、基于差分的简单变异操作和一对一的竞争生存策略，降低了遗传操作的复杂性。同时，DE特有的记忆能力使其...

文章 2017-08-01 来自：开发者社区

PRICAI 2016 论文精选 | 特征选取与实例选取的差分进化算法

特征选取与实例选取的差分进化算法（A Differential Evolution Approach to Feature Selection and Instance Selection）摘要：由于存储硬件和数据采集技术的不断发展，越来越多数据正被收集。数据的传入流量非常的庞大，以至于数据挖掘技术无法跟上其脚步。收集的数据往往有多余的或不相关的特征/实例，它们会限制分类的性能。特...

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更新时间 2023-01-14 23:41:32

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