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Filtering of Genetic Material in Incremental Fitness Evolutionary Algorithms Based on Thresholds

机译:基于阈值的增量适应度进化算法中遗传物质的过滤

摘要

Roughly described, a computer-implemented evolutionary data mining system implements a genetic algorithm. The Genetic algorithm includes a requirements checkpoint, which selects individuals for discarding from the pool of candidate genomes which do not meet a predetermined minimum behavioral requirement for operating in production. The requirements checkpoint enforces an absolute minimum threshold for a behavioral characteristic of the individual, and is different from a competition step in which individuals are selected for removal on the basis of comparisons with each other. A requirements checkpoint may be inserted at various points within the genetic algorithm flow or at reasonable intervals during the training cycle. If at any of these checkpoints the minimum requirement is not met, the candidate individual may be removed from the candidate pool.
机译:粗略地描述,计算机实现的进化数据挖掘系统实现了遗传算法。遗传算法包括一个需求检查点,该检查点从不符合生产中预定的最低行为要求的候选基因组中选择个体进行丢弃。要求检查点对个人的行为特征实施绝对最小阈值,并且不同于竞争步骤,在竞争步骤中,根据彼此的比较选择要删除的个人。可以在遗传算法流程内的各个点或训练周期中的合理间隔处插入需求检查点。如果在任何这些检查点均未达到最低要求,则可以从候选人库中删除候选人个人。

著录项

  • 公开/公告号US2018113977A1

    专利类型

  • 公开/公告日2018-04-26

    原文格式PDF

  • 申请/专利权人 SENTIENT TECHNOLOGIES (BARBADOS) LIMITED;

    申请/专利号US201715791277

  • 发明设计人 BABAK HODJAT;HORMOZ SHAHRZAD;

    申请日2017-10-23

  • 分类号G06F19/18;G06F19/24;G06F19/00;

  • 国家 US

  • 入库时间 2022-08-21 13:03:49

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