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Updated: Sep 10, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
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人間とスワームの相互作用戦略によるスワーム行動の精錬: 多次元最適化問題の改善された猿のアルゴリズム

Yong Deng1,2, Yazhou Zhang3,4, Xianming Shi5,6

  • 1School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, 510640, Guangdong, China.

Scientific reports
|August 25, 2025
PubMed
まとめ

人間とスワームの相互作用 (HSI) 戦略は,猿のアルゴリズム (MA) のようなバイオインスピレーションのスワームインテリジェンス (SI) アルゴリズムを強化します. このアプローチは,複雑な問題における最適化精度と効率を向上させます.

キーワード:
人工知能人間と群れの相互作用猿のアルゴリズム多次元最適化スエーム情報

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