合适 发表于 2025-3-25 05:06:42

https://doi.org/10.1007/978-3-319-26393-9Computational Intelligence; Evolutionary Computation; Fuzzy Computation; IJCCI; IJCCI 2014; Neural Comput

BAIL 发表于 2025-3-25 08:04:35

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sinoatrial-node 发表于 2025-3-25 12:19:58

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Suggestions 发表于 2025-3-25 18:35:03

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artless 发表于 2025-3-25 21:14:09

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fatty-acids 发表于 2025-3-26 01:32:06

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hypnogram 发表于 2025-3-26 06:43:30

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值得 发表于 2025-3-26 11:21:39

A Statistical Approach to Dealing with Noisy Fitness in Evolutionary Algorithmssitions or the response of the player, even if programmed, is not deterministic; different matches will yield different scores. That is a problem when optimizing a game-playing engine: its fitness will be noisy, and if we use an evolutionary algorithm it will have to deal with it. This is not straig

讨厌 发表于 2025-3-26 16:30:23

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FADE 发表于 2025-3-26 18:48:48

A Dissimilarity Learning Approach by Evolutionary Computation for Faults Recognition in Smart Gridssumer feedback. The modern SG systems are equipped with Smart Sensors scattered within the real-world power distribution lines that are able to take a fine-grain picture of the actual power grid status gathering a huge amount of heterogeneous data. The Computational Intelligence paradigm has proven
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查看完整版本: Titlebook: Computational Intelligence; International Joint Juan Julian Merelo,Agostinho Rosa,Joaquim Filipe Conference proceedings 2016 Springer Inte