The performance of the proposed particle swarm optimization algorithm is tested by random experiments. The experimental results show that the average deviation between the proposed PSO and the optimal ...

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It also stressed that the algorithm has a tracking efficiency of 97.54%, which compares to 95.56% for the grasshopper optimization algorithm (GOA), 94.27% for particle swarm optimization (PSO), 91 ...

Mengmeng Cao, Song Qing, Yuchunzi Du, Ruiqiang Yuan, Buri Shun, Yanling Hao, Wenjing Zhao, Remote Sensing Classification of Aquatic Vegetation in Ulansuhai Lake Based on Discrete Particle Swarm ...