We unpack the Parrot Optimizer (PO)—a bio-inspired optimization method that mimics parrot behaviors (foraging, staying, communication, and fear of strangers) to explore and exploit solution spaces. From Levy-flight exploration to real-world applications like hyperparameter tuning, this episode covers how PO stacks up against other algorithms, its parameter sensitivity, and where it shines in CS.

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