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• W4361765067 abstract "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." @default.
• W4361765067 created "2023-04-04" @default.
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• W4361765067 date "2023-01-01" @default.
• W4361765067 modified "2023-09-27" @default.
• W4361765067 title "Context Matters: Adaptive Mutation for Grammars" @default.
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• W4361765067 doi "https://doi.org/10.1007/978-3-031-29573-7_8" @default.
• W4361765067 hasPublicationYear "2023" @default.
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