ELUDE 发表于 2025-3-30 09:12:56

Multi-objective Evolution of Ultra-Fast General-Purpose Hash Functionse application-specific as well as general-purpose hash functions, where the main design target was the quality of hashing. As hash functions are frequently called in various time-critical applications, it is important to optimize their implementation with respect to the execution time. In this paper

CHAR 发表于 2025-3-30 12:58:04

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Arrhythmia 发表于 2025-3-30 20:16:44

Evolving Better RNAfold Structure Predictionich give more accurate predictions of how RNA molecules fold up. Genetic improvement updates 29% of the dynamic programming free energy model parameters. In most cases (50.3%) GI gives better results on 4655 known secondary structures from RNA_STRAND (29.0% are worse and 20.7% are unchanged). Indeed

拥护 发表于 2025-3-30 20:43:54

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overshadow 发表于 2025-3-31 01:36:02

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无法取消 发表于 2025-3-31 08:53:07

Structurally Layered Representation Learning: Towards Deep Learning Through Genetic Programmingiptive/discriminative representations from raw data, we propose a structurally layered representation that allows GP to learn a feature space from large scale and high dimensional data sets. Previous efforts from the GP community for feature learning have focused on small data sets with a few input

Cholesterol 发表于 2025-3-31 10:42:56

https://doi.org/10.1007/978-3-319-77553-1artificial intelligence; evolutionary algorithms; evolutionary computation; evolvable hardware; games; ge

薄膜 发表于 2025-3-31 13:22:06

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cauda-equina 发表于 2025-3-31 18:50:44

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不安 发表于 2025-3-31 21:57:14

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查看完整版本: Titlebook: Genetic Programming; 21st European Confer Mauro Castelli,Lukas Sekanina,Pablo García-Sánchez Conference proceedings 2018 Springer Internati