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首页> 外文期刊>Genetic programming and evolvable machines >Understanding grammatical evolution: initialisation
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Understanding grammatical evolution: initialisation

机译:了解语法演变:初始化

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摘要

Grammatical evolution is one of the most used variants of genetic programming, and ever since its introduction, several improvements have been suggested. One of these concerns the routine used to create the initial population. In this study, several proposed initialisation routines are compared; based on a detailed analysis of the generated initial populations, and subsequent results obtained on a large set of experiments, a variant of the PTC2 algorithm is shown to consistently outperform all other routines, while a variant of random initialisation provides a good compromise between efficiency and ease of implementation.
机译:语法进化是基因编程中最常用的变体之一,并且自从引入以来,已经提出了一些改进方法。其中之一涉及用于创建初始种群的例程。在这项研究中,比较了几种建议的初始化例程;根据对生成的初始种群的详细分析以及在大量实验中获得的后续结果,显示PTC2算法的一种变体始终优于所有其他例程,而随机初始化的一种变体则在效率和效率之间取得了很好的折衷。易于实施。

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