A nature-inspired deep dive into the Secretary Bird Optimization Algorithm (SBOA): how a raptor’s two-stage hunt—general search with Brownian motion and precision strikes via Levy flights—translates into robust, dynamic scheduling for edge-enabled drone networks. We explore enhancements like MSESBOA+RL, golden sinusoidal guidance, and cooperative camouflage, discuss the IoT/drones edge-cloud trade-offs, and reveal real-world impacts (up to 19.42% reduction in makespan) and trade-offs in runtime. Future directions include group hunting and multi-objective foraging in nature-inspired AI.

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