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Fig. 5 . Flow diagram of proposed JSO algorithm.
were compared with optimal methods such as the Elephant herding (EHO) method, the Moth Optimization (MFO) method and the Ant Lion (ALO) method. Figure 6 shows the Simulink model of the proposed system. Including convergence curves of the Jellyfish Search Optimizer (JSO) in comparison to other algorithms such as Particle Swarm Optimization (PSO), Ant Lion Optimization (ALO), and Moth Flame Optimization (MFO) provides a visual representation of their performance across benchmark functions. Convergence curves are crucial in demonstrating the rate at which an algorithm approaches the optimal solution and its ability to avoid local minima. These curves highlight the trade-offs between exploration and exploitation phases during
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