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Use of dominance to improve performance or increase search space in genetic algorithms

机译:利用优势来提高性能或增加遗传算法的搜索空间

摘要

Methods, systems, and articles of manufacture utilizing the biological principle of dominance to affect the operation of a genetic algorithm are provided. The genetic algorithm may be used to select a multi-parameter solution set to a user-defined problem, with each parameter modeled as a gene. Dominance may be introduced by associating a dominance attribute with one or more gene values (i.e., traits), for example, that are known to lead to good solution sets, allowing the corresponding gene values to be specified as dominant or recessive. By specifying the known good gene values as dominant, system performance may be optimized as the genetic algorithm may quickly arrive at a good solution set (e.g., due to the known good value appearing more often in future generations). On the other hand, by specifying the known good gene value as recessive, the search space may be increased as the genetic algorithm may evaluate a larger number of possible solution sets (e.g., due to the known good value appearing less often in future generations).
机译:提供了利用优势的生物学原理来影响遗传算法的操作的方法,系统和制品。遗传算法可用于选择针对用户定义问题的多参数解决方案,每个参数均建模为基因。可以通过将优势属性与一个或多个已知导致良好解集的基因值(即性状)相关联来引入优势,从而允许将相应的基因值指定为显性或隐性。通过将已知的良好基因值指定为显性基因,可以优化系统性能,因为遗传算法可以快速达到良好的解决方案集(例如,由于已知的良好值在后代中更频繁地出现)。另一方面,通过将已知的好基因值指定为隐性,可以增加搜索空间,因为遗传算法可以评估更多可能的解决方案集(例如,由于已知的好值在后代中的出现频率较低) 。

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