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https://hdl.handle.net/10316/114771
Título: | Context Matters: Adaptive Mutation for Grammars | Autor: | Carvalho, Pedro Mégane, Jessica Lourenço, Nuno Machado, Penousal |
Palavras-chave: | Adaptive Mutation; Grammar-design; Grammar-based; Genetic Programming | Data: | 2023 | Editora: | Springer Nature | Projeto: | UID/CEC/00326/2020 UI/BD/151053/2021 |
Título da revista, periódico, livro ou evento: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Volume: | 13986 | Resumo: | This work proposes Adaptive Facilitated Mutation, a selfadaptive 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 de nes the search space. In our proposed mutation, each individual contains an array with a di erent, self-adaptive mutation rate for each non-terminal. We also propose Function Grouped Grammars, a grammar design procedure to enhance the bene ts of the propose 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. | URI: | https://hdl.handle.net/10316/114771 | ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-031-29573-7_8 | Direitos: | openAccess |
Aparece nas coleções: | FCTUC Eng.Informática - Artigos em Revistas Internacionais I&D CISUC - Artigos em Revistas Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Context Matters Adaptive Mutation for Grammars.pdf | 807.45 kB | Adobe PDF | Ver/Abrir |
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