This paper presents an evaluation and comparative assessment of diverse routing algorithms used for optimizing drone trajectories and paths. The paper starts off evolved with the useful resource of way of highlighting the important characteristic drones play throughout several industries and the way inexperienced routing algorithms are paramount for optimizing drone operations like delivery, surveillance, and environmental tracking. The paper then gives a view of numerous routing algorithms which incorporates A*, LAHC, ABC, Learn and Fly, Iterative, Chicken Swarm Optimization, Genetic Algorithms, and hybrid techniques like combining ABC with LAHC. These algorithms are compared primarily based totally on their critical thoughts, direction period and usual overall performance, use of AI techniques, and protection issues like collision avoidance. Key strengths of every set of suggestions are analyzed. The paper moreover discusses disturbing situations like strength overall performance, city air mobility integration, protection risks, and the want for real-international attempting out. Finally, the summary highlights destiny studies recommendations together with self preserving navigation, multi-agent collaboration, dynamic re-planning, AI/tool gets to know integration, location computing, and regulatory compliance for truly unleashing the capability of drone routing algorithms inside the route of diverse applications.