上下文关系：语法的自适应突变
Context Matters: Adaptive Mutation for Grammars
摘要：
本文提出了自适应易化变异，一种结构化语法进化（SGE）的自适应变异方法。在SGE中，个体的基因型包含定义搜索空间的语法的每个非终结符的列表。在我们提出的变异中，每个个体都包含一个数组，每个非终端都有不同的自适应变异率。我们还提出了功能分组语法，语法设计程序，以提高拟议的突变的好处。实验进行了三个符号回归基准使用概率结构语法进化（PSGE），SGE的变体。实验结果表明，我们的方法是类似的或更好的标准语法和变异相比。
英文摘要：
This work proposes Adaptive Facilitated Mutation, a self-adaptive mutation method for Structured Grammatical Evolution (SGE), biologically inspired by the theory of facilitated variation. In SGE, the genotype of individuals contains a list for each non-terminal of the grammar that defines the search space. In our proposed mutation, each individual contains an array with a different, self-adaptive mutation rate for each non-terminal. We also propose Function Grouped Grammars, a grammar design procedure, to enhance the benefits of the proposed mutation. Experiments were conducted on three symbolic regression benchmarks using Probabilistic Structured Grammatical Evolution (PSGE), a variant of SGE. Results show our approach is similar or better when compared with the standard grammar and mutation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
