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Swarm intelligence, inspired by the collective behavior of natural systems such as ant colonies and fish schools, has emerged as a powerful paradigm for solving complex optimization problems. In recent years, the advent of memristor technology has opened up new avenues for the hardware implementation of swarm intelligence algorithms. Memristors, with their unique properties of non-volatility, nanoscale dimensions, and the ability to perform both storage and computation, provide an ideal platform for realizing swarm intelligence in a highly parallel and efficient manner.

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Memristor Network-Based Swarm Intelligence

  • 章节

  • 发表日期：

    2025年

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  • Yongbin Yu,
  • Xiangxiang Wang,
  • Xiao Feng,
  • Jiarun Shen,
  • Nyima Tashi,
  • Pinaki Mazumder

摘要

Swarm intelligence, inspired by the collective behavior of natural systems such as ant colonies and fish schools, has emerged as a powerful paradigm for solving complex optimization problems. In recent years, the advent of memristor technology has opened up new avenues for the hardware implementation of swarm intelligence algorithms. Memristors, with their unique properties of non-volatility, nanoscale dimensions, and the ability to perform both storage and computation, provide an ideal platform for realizing swarm intelligence in a highly parallel and efficient manner.