Probability Vector Enhanced Tumbleweed Optimization Algorithm
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.