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March 3, 2026Journal of the Franklin Institute0 citations

Nabla fractional distributed aggregative optimization algorithm

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XJXiubo JiangYWYiheng WeiXNXintong Ni

Key Points

  • The algorithm optimizes distributed aggregative games effectively, improving overall network performance.
  • Key performance metric shows significant efficiency gains in resource allocation within network systems.
  • Assessment using the new algorithm across various simulated environments indicates robust adaptability.
  • Implications for practical applications in real-world network systems may revolutionize optimization processes.
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Cite This Study

Jiang et al. (2026) studied this question.

synapsesocial.com/papers/69a761d3c6e9836116a2fe87https://doi.org/10.1016/j.jfranklin.2026.108522
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