Grammatical evolution

doi:10.1109/4235.942529

2001-01-01

528

PRE

Michael O’Neill

Conor Ryan

DOI：10.1109/4235.942529

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摘要

En 中文

We present grammatical evolution, an evolutionary algorithm that can evolve complete programs in an arbitrary language using a variable-length binary string. The binary genome determines which production rules in a Backus-Naur form grammar definition are used in a genotype-to-phenotype mapping process to a program. We demonstrate how expressions and programs of arbitrary complexity may be evolved and compare its performance to genetic programming.

Keyword:

automatic programming

Backus-Naur form

degenerate code

evolutionary algorithms

neutral networks

期刊

IEEE Transactions on Evolutionary Computation

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1.9K

被引数:

2.4W

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BACKUS, JW; BAUER, FL; GREEN, J; KATZ, C; MCCARTHY, J; PERLIS, AJ; RUTISHAUSER, H; SAMELSON, K; VAUQUOIS, B; WEGSTEIN, JH; VANWIJNGAARDEN, A; WOODGER, M

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