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Probability Vector Enhanced Tumbleweed Optimization Algorithm

  • Yang-Zhi Chen,
  • Ruo-Bin Wang,
  • Hao-Jie Shi,
  • Rui-Bin Hu,
  • Lin Xu

摘要

As optimization problems become increasingly complex, the demand for hardware capabilities has also grown. In this paper, we propose the Probability Vector Enhanced Tumbleweed Optimization Algorithm (PVE-TOA), inspired by compact Particle Swarm Optimization (cPSO) and Wind-driven Optimization Algorithm (TOA), aiming to optimize the performance and spatial utilization of the TOA algorithm. Unlike the modifications that cPSO makes to the Particle Swarm Optimization algorithm, PVE-TOA introduces modifications to enhance the performance of TOA in specific optimization scenarios while retains the ability to reduce memory consumption.